diff --git a/audio/batch_tts_voxcpm.py b/audio/batch_tts_voxcpm.py index 83d425e..d6bdd07 100644 --- a/audio/batch_tts_voxcpm.py +++ b/audio/batch_tts_voxcpm.py @@ -92,7 +92,7 @@ ROLES = { }, "delivery": { "dir": "delivery", - "speed": 1.20, + "speed": 1.00, }, "self_3y": { "dir": "linxia", diff --git a/audio/mp3/ambience/amb_apartment_night_02_v1.mp3 b/audio/mp3/ambience/amb_apartment_night_02_v1.mp3 deleted file mode 100644 index aabd091..0000000 Binary files a/audio/mp3/ambience/amb_apartment_night_02_v1.mp3 and /dev/null differ diff --git a/audio/mp3/ambience/amb_bar_loud_01_v1.mp3 b/audio/mp3/ambience/amb_bar_loud_01_v1.mp3 deleted file mode 100644 index bc766f7..0000000 Binary files a/audio/mp3/ambience/amb_bar_loud_01_v1.mp3 and /dev/null differ diff --git a/audio/mp3/ambience/amb_rain_window_01_v1.mp3 b/audio/mp3/ambience/amb_rain_window_01_v1.mp3 deleted file mode 100644 index 4e1bf21..0000000 Binary files a/audio/mp3/ambience/amb_rain_window_01_v1.mp3 and /dev/null differ 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a/audio_1/music/v2_stableaudio/sfx/sfx_water_boiling_v1.mp3 b/audio_1/music/v2_stableaudio/sfx/sfx_water_boiling_v1.mp3 deleted file mode 100644 index dfd4193..0000000 Binary files a/audio_1/music/v2_stableaudio/sfx/sfx_water_boiling_v1.mp3 and /dev/null differ diff --git a/audio_1/music/v2_stableaudio/sfx/sfx_water_boiling_v1.wav b/audio_1/music/v2_stableaudio/sfx/sfx_water_boiling_v1.wav deleted file mode 100644 index a6dfd9e..0000000 Binary files a/audio_1/music/v2_stableaudio/sfx/sfx_water_boiling_v1.wav and /dev/null differ diff --git a/audio_1/scripts/01_gen_tts_voxcpm2.py b/audio_1/scripts/01_gen_tts_voxcpm2.py deleted file mode 100644 index abe6895..0000000 --- a/audio_1/scripts/01_gen_tts_voxcpm2.py +++ /dev/null @@ -1,150 +0,0 @@ -#!/usr/bin/env python3 -""" -步骤 1：TTS v1 — VoxCPM2 批量生成 -输出目录：audio_1/tts/v1_voxcpm2/ - -使用方法： - # 确认 VoxCPM2 服务已启动 - python audio_1/scripts/01_gen_tts_voxcpm2.py - python audio_1/scripts/01_gen_tts_voxcpm2.py --dry-run - python audio_1/scripts/01_gen_tts_voxcpm2.py --role linxia -""" -import os, sys, glob, base64, json, tempfile, time, subprocess, argparse -import requests - -PROJECT_DIR = "/home/xsl/blind" -VOICE_DIR = f"{PROJECT_DIR}/voice" -OUT_DIR = f"{PROJECT_DIR}/audio_1/tts/v1_voxcpm2" -HOST = "127.0.0.1" -PORT = "8000" -BASE_URL = f"http://{HOST}:{PORT}" - -os.makedirs(OUT_DIR, exist_ok=True) - -sys.path.insert(0, f"{PROJECT_DIR}/audio") -# 复用原始脚本的 ROLES 和 LINES 定义 -from batch_tts_voxcpm import ROLES, LINES - -# ────────────────────────────────────────────────────────────── -def find_ref_audio(role_key): - role_dir = os.path.join(VOICE_DIR, ROLES[role_key]["dir"]) - for ext in ("*.wav", "*.mp3", "*.flac"): - files = sorted(glob.glob(os.path.join(role_dir, ext))) - if files: - return files[0] - return None - -def wav_to_base64(path): - with open(path, "rb") as f: - return base64.b64encode(f.read()).decode() - -def convert_to_wav(src, dst): - subprocess.run(["ffmpeg", "-y", "-i", src, "-ar", "16000", "-ac", "1", - "-acodec", "pcm_s16le", dst], - check=True, capture_output=True) - -def apply_speed(src, speed, dst): - if abs(speed - 1.0) < 0.01: - import shutil; shutil.copy2(src, dst); return - subprocess.run(["ffmpeg", "-y", "-i", src, "-filter:a", f"atempo={speed}", - "-acodec", "pcm_s16le", dst], - check=True, capture_output=True) - -def wav_to_mp3(src, dst): - subprocess.run(["ffmpeg", "-y", "-i", src, "-codec:a", "libmp3lame", - "-b:a", "128k", "-ar", "24000", "-ac", "1", dst], - check=True, capture_output=True) - -def check_server(): - try: - return requests.get(f"{BASE_URL}/health", timeout=5).status_code == 200 - except: return False - -def register_voice(wav_path): - r = requests.post(f"{BASE_URL}/v1/voices", - json={"wav_base64": wav_to_base64(wav_path)}, timeout=60) - r.raise_for_status() - return r.json()["voice_id"] - -def synthesize(voice_id, text): - r = requests.post(f"{BASE_URL}/v1/speech", - json={"text": text, "voice_id": voice_id, - "cfg_value": 2.0, "inference_timesteps": 10}, - timeout=120) - r.raise_for_status() - return r.content - -# ────────────────────────────────────────────────────────────── -def main(): - parser = argparse.ArgumentParser() - parser.add_argument("--role", help="只合成指定角色") - parser.add_argument("--dry-run", action="store_true") - parser.add_argument("--resume", action="store_true", help="跳过已存在的文件", default=True) - args = parser.parse_args() - - lines = LINES - if args.role: - lines = [(f,r,t) for f,r,t in lines if r == args.role] - - print(f"\n{'='*60}") - print(f" TTS v1 — VoxCPM2 ({len(lines)} 条)") - print(f" 输出: {OUT_DIR}") - print(f"{'='*60}\n") - - if args.dry_run: - for f,r,t in lines: - out = os.path.join(OUT_DIR, f"{f}_wav_v1.mp3") - done = "✓" if os.path.exists(out) else "·" - print(f" [{done}] {f} [{r}] {t[:40]}") - return - - if not check_server(): - print(f"[错误] VoxCPM2 服务未响应: {BASE_URL}") - sys.exit(1) - - # 预注册音色 - voice_ids = {} - tmp = tempfile.mkdtemp(prefix="voxcpm_") - for role_key in set(r for _,r,_ in lines): - ref = find_ref_audio(role_key) - if not ref: - print(f" [跳过] {role_key}: 未找到参考音频"); continue - wav = ref if ref.endswith(".wav") else os.path.join(tmp, f"{role_key}.wav") - if not ref.endswith(".wav"): - convert_to_wav(ref, wav) - print(f" 注册音色: {role_key} ... ", end="", flush=True) - vid = register_voice(wav) - voice_ids[role_key] = vid - print(f"ok ({vid[:8]}...)") - - # 批量合成 - ok = fail = skip = 0 - for i, (fname, role, text) in enumerate(lines, 1): - out_mp3 = os.path.join(OUT_DIR, f"{fname}_wav_v1.mp3") - if args.resume and os.path.exists(out_mp3): - print(f" [{i:3d}/{len(lines)}] SKIP {fname}") - skip += 1; continue - - if role not in voice_ids: - print(f" [{i:3d}/{len(lines)}] MISS {fname} (无音色)") - fail += 1; continue - - speed = ROLES[role]["speed"] - print(f" [{i:3d}/{len(lines)}] {fname} text={text[:30]}... ", end="", flush=True) - t0 = time.time() - try: - wav_bytes = synthesize(voice_ids[role], text) - raw_wav = os.path.join(tmp, f"{fname}_raw.wav") - spd_wav = os.path.join(tmp, f"{fname}_spd.wav") - with open(raw_wav, "wb") as f: f.write(wav_bytes) - apply_speed(raw_wav, speed, spd_wav) - wav_to_mp3(spd_wav, out_mp3) - print(f"ok ({time.time()-t0:.1f}s {os.path.getsize(out_mp3)//1024}KB)") - ok += 1 - except Exception as e: - print(f"FAIL: {e}"); fail += 1 - - print(f"\n完成: {ok} ok, {skip} skip, {fail} fail → {OUT_DIR}") - -if __name__ == "__main__": - main() diff --git a/audio_1/scripts/02_gen_tts_cosyvoice2.py b/audio_1/scripts/02_gen_tts_cosyvoice2.py deleted file mode 100644 index de86cfe..0000000 --- a/audio_1/scripts/02_gen_tts_cosyvoice2.py +++ /dev/null @@ -1,153 +0,0 @@ -#!/usr/bin/env python3 -""" -步骤 2：TTS v2 — CosyVoice2-0.5B 批量生成 -输出目录：audio_1/tts/v2_cosyvoice2/ - - -使用方法： - conda activate cosyvoice - python audio_1/scripts/02_gen_tts_cosyvoice2.py - python audio_1/scripts/02_gen_tts_cosyvoice2.py --dry-run -""" -import os, sys, glob, json, time, tempfile, subprocess, argparse -import numpy as np - -PROJECT_DIR = "/home/xsl/blind" -VOICE_DIR = f"{PROJECT_DIR}/voice" -OUT_DIR = f"{PROJECT_DIR}/audio_1/tts/v2_cosyvoice2" -REF_TEXTS = f"{PROJECT_DIR}/audio_1/ref_texts.json" -MODEL_DIR = "/home/xsl/tools/CosyVoice/pretrained_models/CosyVoice2-0.5B" -COSYVOICE_DIR = "/home/xsl/tools/CosyVoice" - -os.makedirs(OUT_DIR, exist_ok=True) - -sys.path.insert(0, COSYVOICE_DIR) -sys.path.insert(0, f"{PROJECT_DIR}/audio") -from batch_tts_voxcpm import ROLES, LINES - -with open(REF_TEXTS, encoding="utf-8") as f: - REF_TEXT_MAP = json.load(f) - -# ────────────────────────────────────────────────────────────── -def find_ref_audio(role_key): - role_dir = os.path.join(VOICE_DIR, ROLES[role_key]["dir"]) - for ext in ("*.wav", "*.mp3", "*.flac"): - files = sorted(glob.glob(os.path.join(role_dir, ext))) - if files: - return files[0] - return None - -def load_audio_16k(path): - """加载音频，重采样到 16kHz，返回 numpy float32 array""" - import librosa - audio, _ = librosa.load(path, sr=16000, mono=True) - return audio - -def wav_to_mp3(src, dst): - subprocess.run(["ffmpeg", "-y", "-i", src, "-codec:a", "libmp3lame", - "-b:a", "128k", "-ar", "24000", "-ac", "1", dst], - check=True, capture_output=True) - -def save_wav(audio_tensor, sr, path): - """保存 torch tensor 或 numpy array 到 WAV""" - import soundfile as sf - if hasattr(audio_tensor, 'numpy'): - audio = audio_tensor.squeeze().numpy() - else: - audio = np.squeeze(audio_tensor) - sf.write(path, audio, sr) - -# ────────────────────────────────────────────────────────────── -def main(): - parser = argparse.ArgumentParser() - parser.add_argument("--role", help="只合成指定角色") - parser.add_argument("--dry-run", action="store_true") - parser.add_argument("--resume", action="store_true", default=True) - args = parser.parse_args() - - lines = LINES - if args.role: - lines = [(f,r,t) for f,r,t in lines if r == args.role] - - print(f"\n{'='*60}") - print(f" TTS v2 — CosyVoice2-0.5B ({len(lines)} 条)") - print(f" 输出: {OUT_DIR}") - print(f"{'='*60}\n") - - # 预检参考音频 - ref_cache = {} - for role_key in ROLES: - ref_path = find_ref_audio(role_key) - if ref_path: - ref_cache[role_key] = { - "path": ref_path, - "audio16k": None, # 懒加载 - "text": REF_TEXT_MAP.get(role_key, ""), - } - - if args.dry_run: - for f,r,t in lines: - out = os.path.join(OUT_DIR, f"{f}_wav_v1.mp3") - done = "✓" if os.path.exists(out) else "·" - ref_ok = "✓" if r in ref_cache else "✗" - print(f" [{done}] ref={ref_ok} {f} [{r}] {t[:40]}") - return - - # 加载模型 - print("加载 CosyVoice2 模型...", end=" ", flush=True) - t0 = time.time() - from cosyvoice.cli.cosyvoice import CosyVoice2 - cosyvoice = CosyVoice2(MODEL_DIR) - print(f"就绪 ({time.time()-t0:.1f}s) SR={cosyvoice.sample_rate}") - - tmp = tempfile.mkdtemp(prefix="cosyvoice2_") - ok = fail = skip = 0 - - for i, (fname, role, text) in enumerate(lines, 1): - out_mp3 = os.path.join(OUT_DIR, f"{fname}_wav_v1.mp3") - if args.resume and os.path.exists(out_mp3): - print(f" [{i:3d}/{len(lines)}] SKIP {fname}") - skip += 1; continue - - if role not in ref_cache: - print(f" [{i:3d}/{len(lines)}] MISS {fname} (无参考音频)") - fail += 1; continue - - speed = ROLES[role]["speed"] - ref = ref_cache[role] - print(f" [{i:3d}/{len(lines)}] {fname} [{role}] {text[:30]}... ", end="", flush=True) - t0 = time.time() - - try: - # 懒加载参考音频 - if ref["audio16k"] is None: - ref["audio16k"] = load_audio_16k(ref["path"]) - - # 合成：zero-shot 语音克隆 - import torch - prompt_speech = torch.from_numpy(ref["audio16k"]).unsqueeze(0) - audio_chunks = [] - for result in cosyvoice.inference_zero_shot( - tts_text=text, - prompt_text=ref["text"], - prompt_speech_16k=prompt_speech, - speed=speed, - stream=False, - ): - audio_chunks.append(result['tts_speech'].squeeze().numpy()) - - # 合并并保存 - full_audio = np.concatenate(audio_chunks) if audio_chunks else np.array([]) - out_wav = os.path.join(tmp, f"{fname}.wav") - import soundfile as sf - sf.write(out_wav, full_audio, cosyvoice.sample_rate) - wav_to_mp3(out_wav, out_mp3) - print(f"ok ({time.time()-t0:.1f}s {os.path.getsize(out_mp3)//1024}KB)") - ok += 1 - except Exception as e: - print(f"FAIL: {e}"); fail += 1 - - print(f"\n完成: {ok} ok, {skip} skip, {fail} fail → {OUT_DIR}") - -if __name__ == "__main__": - main() diff --git a/audio_1/scripts/04_gen_music_acestep.py b/audio_1/scripts/04_gen_music_acestep.py deleted file mode 100644 index 74162f7..0000000 --- a/audio_1/scripts/04_gen_music_acestep.py +++ /dev/null @@ -1,122 +0,0 @@ -#!/usr/bin/env python3 -""" -步骤 4：音乐 v1 — ACE-Step 1.5 批量生成 -输出目录：audio_1/music/v1_acestep/{music,sfx,ambience}/ - -使用方法： - conda activate acestep - python audio_1/scripts/04_gen_music_acestep.py [--dry-run] -""" -import os, sys, time, argparse, subprocess - -import torch -torch.backends.cuda.preferred_blas_library("cublaslt") - -PROJECT_DIR = "/home/xsl/blind" -REPO_DIR = "/home/xsl/tools/ACE-Step-1.5" -OUT_MUSIC = f"{PROJECT_DIR}/audio_1/music/v1_acestep/music" -OUT_SFX = f"{PROJECT_DIR}/audio_1/music/v1_acestep/sfx" -OUT_AMB = f"{PROJECT_DIR}/audio_1/music/v1_acestep/ambience" - -for d in (OUT_MUSIC, OUT_SFX, OUT_AMB): - os.makedirs(d, exist_ok=True) - -sys.path.insert(0, REPO_DIR) -sys.path.insert(0, f"{PROJECT_DIR}/audio") - -# 复用原脚本中的 TRACKS 和 SFX 定义 -from gen_music_acestep import BGM_TRACKS, RINGTONES -from gen_sfx_acestep import SFX_TRACKS, AMBIENCE_TRACKS - -def wav_to_mp3(src, dst): - subprocess.run(["ffmpeg", "-y", "-i", src, "-codec:a", "libmp3lame", - "-b:a", "128k", "-ar", "44100", "-ac", "2", dst], - check=True, capture_output=True) - -# ────────────────────────────────────────────────────────────── -def load_handler(): - from acestep.handler import AceStepHandler - print("加载 ACE-Step 模型...", end=" ", flush=True) - t0 = time.time() - handler = AceStepHandler() - handler.initialize_service(project_root=REPO_DIR, config_path="acestep-v15-turbo", device="cuda") - print(f"就绪 ({time.time()-t0:.1f}s)") - return handler - -def generate_one(handler, track, out_dir): - from acestep.inference import GenerationParams, GenerationConfig, generate_music - filename = track["filename"] - out_wav = os.path.join(out_dir, f"{filename}_v1.wav") - out_mp3 = os.path.join(out_dir, f"{filename}_v1.mp3") - - if os.path.exists(out_mp3): - print(f" [SKIP] {filename}") - return "skip" - - note = track.get("note", "") - print(f" [{filename}] {track['duration']}s {note} ...", end=" ", flush=True) - - params = GenerationParams( - caption=track["caption"], - lyrics=track.get("lyrics", ""), - duration=track["duration"], - instrumental=True, - inference_steps=track.get("steps", 20), - seed=track.get("seed", 42), - ) - config = GenerationConfig(batch_size=1, audio_format="wav") - t0 = time.time() - try: - result = generate_music(handler, None, params, config, save_dir=out_dir) - elapsed = time.time() - t0 - if result.success: - gen_path = result.audios[0]["path"] - if gen_path != out_wav: - os.rename(gen_path, out_wav) - wav_to_mp3(out_wav, out_mp3) - size = os.path.getsize(out_mp3) // 1024 - print(f"ok {elapsed:.1f}s {size}KB") - return "ok" - else: - print(f"FAIL: {result.error}"); return "fail" - except Exception as e: - print(f"FAIL: {e}"); return "fail" - -# ────────────────────────────────────────────────────────────── -def main(): - parser = argparse.ArgumentParser() - parser.add_argument("--dry-run", action="store_true") - parser.add_argument("--category", choices=["music","sfx","ambience","all"], default="all") - args = parser.parse_args() - - all_tasks = [] - if args.category in ("music", "all"): - all_tasks += [(t, OUT_MUSIC) for t in BGM_TRACKS + RINGTONES] - if args.category in ("sfx", "all"): - all_tasks += [(t, OUT_SFX) for t in SFX_TRACKS] - if args.category in ("ambience", "all"): - all_tasks += [(t, OUT_AMB) for t in AMBIENCE_TRACKS] - - print(f"\n{'='*60}") - print(f" 音乐 v1 — ACE-Step ({len(all_tasks)} 条)") - print(f"{'='*60}\n") - - if args.dry_run: - for t, d in all_tasks: - mp3 = os.path.join(d, f"{t['filename']}_v1.mp3") - done = "✓" if os.path.exists(mp3) else "·" - print(f" [{done}] {t['filename']} {t['duration']}s → {os.path.basename(d)}/") - return - - handler = load_handler() - ok = fail = skip = 0 - for track, out_dir in all_tasks: - r = generate_one(handler, track, out_dir) - if r == "ok": ok += 1 - elif r == "skip": skip += 1 - else: fail += 1 - - print(f"\n完成: {ok} ok, {skip} skip, {fail} fail") - -if __name__ == "__main__": - main() diff --git a/audio_1/scripts/05_gen_music_stableaudio.py b/audio_1/scripts/05_gen_music_stableaudio.py deleted file mode 100644 index da57918..0000000 --- a/audio_1/scripts/05_gen_music_stableaudio.py +++ /dev/null @@ -1,277 +0,0 @@ -#!/usr/bin/env python3 -""" -步骤 5：音乐 v2 — Stable Audio Open 1.0 批量生成 -输出目录：audio_1/music/v2_stableaudio/{music,sfx,ambience}/ - -特点：44.1kHz 立体声，最长 47 秒，音效/氛围质量高，BGM 风格偏弥散 - -使用方法： - conda activate stableaudio - python audio_1/scripts/05_gen_music_stableaudio.py [--dry-run] -""" -import os, sys, time, subprocess, argparse -import torch, json - -PROJECT_DIR = "/home/xsl/blind" -TOOLS_DIR = "/home/xsl/tools/stable-audio-tools" -MODEL_CONFIG = "/home/xsl/models/stable-audio-open/model_config.json" -MODEL_CKPT = "/home/xsl/models/stable-audio-open/model.safetensors" -OUT_MUSIC = f"{PROJECT_DIR}/audio_1/music/v2_stableaudio/music" -OUT_SFX = f"{PROJECT_DIR}/audio_1/music/v2_stableaudio/sfx" -OUT_AMB = f"{PROJECT_DIR}/audio_1/music/v2_stableaudio/ambience" - -for d in (OUT_MUSIC, OUT_SFX, OUT_AMB): - os.makedirs(d, exist_ok=True) - -sys.path.insert(0, TOOLS_DIR) - -# ── 音乐 BGM（Stable Audio 最长 47s，生成片段）───────────────── -BGM_TRACKS = [ - { - "filename": "lv11_bgm_m1_main_loop", - "duration": 47, - "prompt": ( - "lo-fi midnight bedroom, soft piano, light vinyl crackle, " - "muted piano, subtle synth pad, occasional distant rain, " - "melancholy but warm, alone but not lonely, ambient, no drums, 70 bpm" - ), - "steps": 200, - "seed": 2103, - "note": "M1 主题", - }, - { - "filename": "lv11_bgm_m2_suspense", - "duration": 30, - "prompt": ( - "subtle ambient suspense, cinematic tension, " - "low drone, single hanging piano note, sparse strings, " - "unsettling but not horror, builds slowly, unresolved chord, 60 bpm" - ), - "steps": 200, - "seed": 2230, - "note": "M2 悬疑", - }, - { - "filename": "lv11_bgm_m3_zhounan", - "duration": 47, - "prompt": ( - "late night lo-fi, warm electric guitar fingerpicking, " - "light reverb, distant city sounds, nostalgic, gentle, 65 bpm" - ), - "steps": 200, - "seed": 2345, - "note": "M3 周南", - }, - { - "filename": "lv11_bgm_m4_ending", - "duration": 47, - "prompt": ( - "gentle piano dawn, morning light, hopeful, sparse chords, " - "soft string pad, peaceful resolution, 60 bpm" - ), - "steps": 200, - "seed": 2400, - "note": "M4 结局", - }, -] - -# ── 铃声（短促，~10-15s）──────────────────────────────────────── -RINGTONES = [ - {"filename": "lv11_ring_mom", "duration": 12, "seed": 3001, "steps": 150, - "prompt": "warm marimba ringtone, simple 4-note motif, old Nokia style, 70 bpm, loop, short"}, - {"filename": "lv11_ring_azhe", "duration": 12, "seed": 3002, "steps": 150, - "prompt": "cold minimal electronic ringtone, 2 notes only, distant, 80 bpm, loop, short"}, - {"filename": "lv11_ring_xiaomei", "duration": 12, "seed": 3003, "steps": 150, - "prompt": "cheerful pop ringtone, ukulele plucks, 4-bar phrase, energetic, 100 bpm, loop"}, - {"filename": "lv11_ring_zhounan", "duration": 12, "seed": 3004, "steps": 150, - "prompt": "acoustic guitar single-string ringtone, contemplative, 75 bpm, loop, short"}, - {"filename": "lv11_ring_hr", "duration": 12, "seed": 3005, "steps": 150, - "prompt": "corporate professional ringtone, neutral marimba, clean, 90 bpm, loop"}, - {"filename": "lv11_ring_anan", "duration": 12, "seed": 3006, "steps": 150, - "prompt": "fun upbeat ringtone, synth pop, bright, 110 bpm, catchy, loop"}, - {"filename": "lv11_ring_mom", "duration": 12, "seed": 3007, "steps": 150, - "prompt": "delivery notification ringtone, simple beep melody, neutral, 85 bpm"}, - {"filename": "lv11_ring_delivery", "duration": 12, "seed": 3008, "steps": 150, - "prompt": "delivery notification ringtone, simple beep melody, neutral, 85 bpm"}, - {"filename": "lv11_ring_unknown", "duration": 12, "seed": 3009, "steps": 150, - "prompt": "eerie unknown caller ringtone, distorted sine wave, unsettling, 60 bpm"}, - {"filename": "lv11_ring_dorm_group","duration": 12, "seed": 3010, "steps": 150, - "prompt": "group chat notification sound, light percussion, cheerful, 95 bpm, loop"}, - {"filename": "lv11_ring_zhounan", "duration": 12, "seed": 3011, "steps": 150, - "prompt": "acoustic guitar single-string ringtone, contemplative, 75 bpm, loop"}, -] - -# ── 音效 SFX ─────────────────────────────────────────────────── -SFX_TRACKS = [ - {"filename": "sfx_transition_chapter", "duration": 8, "seed": 4001, "steps": 200, - "prompt": "cinematic transition swell, soft orchestral rise and fall, gentle fade, film score"}, - {"filename": "sfx_heartbeat_fast", "duration": 8, "seed": 4002, "steps": 200, - "prompt": "human heartbeat accelerating, close microphone, thumping, tension, anxiety, realistic"}, - {"filename": "sfx_deep_breath", "duration": 6, "seed": 4003, "steps": 200, - "prompt": "single deep breath, calm, close microphone, soft exhale, meditative, realistic foley"}, - {"filename": "sfx_rain_heavier", "duration": 8, "seed": 4004, "steps": 200, - "prompt": "rain suddenly intensifying on window glass, urban rain sound, dramatic, realistic"}, - {"filename": "sfx_rain_lighter", "duration": 8, "seed": 4005, "steps": 200, - "prompt": "light rain on window, soft pattering, urban night, gentle, calming, realistic"}, - {"filename": "sfx_glass_shatter_short","duration": 5, "seed": 4006, "steps": 200, - "prompt": "glass breaking, short, sharp, immediate, foley sound effect"}, - {"filename": "sfx_door_knock_gentle", "duration": 5, "seed": 4007, "steps": 200, - "prompt": "gentle knocking on door, two light knocks, quiet, hesitant, foley"}, - {"filename": "sfx_door_knock_firm", "duration": 5, "seed": 4008, "steps": 200, - "prompt": "firm confident door knock, three knocks, hollow door resonance, foley"}, - {"filename": "sfx_phone_vibrate", "duration": 5, "seed": 4009, "steps": 200, - "prompt": "smartphone vibrating on hard surface, buzzing notification, realistic"}, - {"filename": "sfx_keyboard_fast", "duration": 8, "seed": 4010, "steps": 200, - "prompt": "fast typing on mechanical keyboard, rapid keystrokes, focused, realistic"}, - {"filename": "sfx_keyboard_slow", "duration": 8, "seed": 4011, "steps": 200, - "prompt": "slow hesitant typing, single key presses, pauses, uncertain typing, realistic"}, - {"filename": "sfx_kettle_whistle", "duration": 8, "seed": 4012, "steps": 200, - "prompt": "electric kettle boiling and whistling, kitchen, steam, morning, realistic foley"}, - {"filename": "sfx_water_boiling", "duration": 8, "seed": 4013, "steps": 200, - "prompt": "water boiling in pot, bubbling, kitchen ambience, realistic foley sound"}, - {"filename": "sfx_paper_turning", "duration": 5, "seed": 4014, "steps": 200, - "prompt": "paper page turning, subtle rustling, quiet, realistic close-mic foley"}, - {"filename": "sfx_night_bus", "duration": 10, "seed": 4015, "steps": 200, - "prompt": "night bus interior sound, engine rumble, gentle sway, city at night, ambient"}, - {"filename": "sfx_cat_yowl", "duration": 5, "seed": 4016, "steps": 200, - "prompt": "cat yowling outside at night, distant, urban night sound, realistic"}, - {"filename": "sfx_ending_chime", "duration": 6, "seed": 4017, "steps": 200, - "prompt": "soft ending chime, single bell tone, resonant, gentle, conclusive, musical"}, - {"filename": "sfx_breathing_unknown", "duration": 8, "seed": 4018, "steps": 200, - "prompt": "quiet breathing, slightly nervous, close microphone, intimate, human, realistic"}, - {"filename": "sfx_deep_breath", "duration": 6, "seed": 4019, "steps": 200, - "prompt": "slow deep calming breath, inhale and exhale, meditation, close mic, peaceful"}, -] - -# ── 环境氛围 ────────────────────────────────────────────────── -AMBIENCE_TRACKS = [ - {"filename": "amb_apartment_night_01", "duration": 47, "seed": 5001, "steps": 200, - "prompt": "apartment at night, city sounds, distant traffic, quiet hum, urban isolation, ambient"}, - {"filename": "amb_apartment_night_02", "duration": 47, "seed": 5002, "steps": 200, - "prompt": "late night apartment, occasional car passing, silence, urban night, subtle AC hum"}, - {"filename": "amb_bar_loud_01", "duration": 30, "seed": 5003, "steps": 200, - "prompt": "busy bar ambience, crowd chatter, glasses clinking, background music, lively, indoor"}, - {"filename": "amb_rain_window_01", "duration": 47, "seed": 5004, "steps": 200, - "prompt": "rain on window glass, cozy indoor, distant thunder rumble, peaceful, continuous"}, - {"filename": "amb_kitchen_morning", "duration": 30, "seed": 5005, "steps": 200, - "prompt": "morning kitchen sounds, birds outside, soft light, gentle hum, peaceful domestic"}, - {"filename": "amb_dawn_birds", "duration": 47, "seed": 5006, "steps": 200, - "prompt": "dawn birdsong, early morning outdoor, multiple bird species, peaceful, hopeful"}, -] - -# ────────────────────────────────────────────────────────────── -def wav_to_mp3(src, dst): - subprocess.run(["ffmpeg", "-y", "-i", src, "-codec:a", "libmp3lame", - "-b:a", "128k", "-ar", "44100", "-ac", "2", dst], - check=True, capture_output=True) - -def generate_one(track, out_dir, sa_model, sr): - """使用 generate_diffusion_cond 直接生成音频""" - import numpy as np - from einops import rearrange - from stable_audio_tools.inference.generation import generate_diffusion_cond - import torchaudio - - filename = track["filename"] - out_wav = os.path.join(out_dir, f"{filename}_v1.wav") - out_mp3 = os.path.join(out_dir, f"{filename}_v1.mp3") - - if os.path.exists(out_mp3): - print(f" [SKIP] {filename}") - return "skip" - - note = track.get("note", "") - duration = min(track["duration"], 47) - print(f" [{filename}] {duration}s {note}... ", end="", flush=True) - t0 = time.time() - - try: - device = next(sa_model.parameters()).device - conditioning = [{"prompt": track["prompt"], "seconds_start": 0, "seconds_total": duration}] - audio = generate_diffusion_cond( - model=sa_model, - conditioning=conditioning, - steps=track.get("steps", 200), - cfg_scale=7.0, - batch_size=1, - sample_size=sr * duration, - seed=track.get("seed", 42), - device=device, - sampler_type="dpmpp-3m-sde", - sigma_min=0.03, - sigma_max=1000, - ) - # audio shape: [batch, channels, samples] - audio = audio[:, :, :duration * sr] - audio = rearrange(audio, "b d n -> d (b n)") - audio = audio.to(torch.float32) - peak = torch.max(torch.abs(audio)) - if peak > 0: - audio = audio / peak - audio = audio.clamp(-1, 1).mul(32767).to(torch.int16).cpu() - torchaudio.save(out_wav, audio, sr) - wav_to_mp3(out_wav, out_mp3) - size = os.path.getsize(out_mp3) // 1024 - print(f"ok {time.time()-t0:.1f}s {size}KB") - return "ok" - except Exception as e: - import traceback; traceback.print_exc() - print(f"FAIL: {e}"); return "fail" - -# ────────────────────────────────────────────────────────────── -def main(): - parser = argparse.ArgumentParser() - parser.add_argument("--dry-run", action="store_true") - parser.add_argument("--category", choices=["music","sfx","ambience","all"], default="all") - args = parser.parse_args() - - all_tasks = [] - if args.category in ("music", "all"): - all_tasks += [(t, OUT_MUSIC) for t in BGM_TRACKS + RINGTONES] - if args.category in ("sfx", "all"): - all_tasks += [(t, OUT_SFX) for t in SFX_TRACKS] - if args.category in ("ambience", "all"): - all_tasks += [(t, OUT_AMB) for t in AMBIENCE_TRACKS] - - # 去重（RINGTONES 里有重复 filename） - seen = set() - deduped = [] - for t, d in all_tasks: - key = (t["filename"], d) - if key not in seen: - seen.add(key) - deduped.append((t, d)) - all_tasks = deduped - - print(f"\n{'='*60}") - print(f" 音乐 v2 — Stable Audio Open 1.0 ({len(all_tasks)} 条)") - print(f"{'='*60}\n") - - if args.dry_run: - for t, d in all_tasks: - mp3 = os.path.join(d, f"{t['filename']}_v1.mp3") - done = "✓" if os.path.exists(mp3) else "·" - print(f" [{done}] {t['filename']} {t['duration']}s → {os.path.basename(d)}/") - return - - # 加载模型 - print(f"加载 Stable Audio 模型...", end=" ", flush=True) - t0 = time.time() - from stable_audio_tools.interface.gradio import load_model as sa_load_model - import json - with open(MODEL_CONFIG) as f: - model_config = json.load(f) - sa_model, _ = sa_load_model(model_config=model_config, model_ckpt_path=MODEL_CKPT, device="cuda", model_half=False) - print(f"就绪 ({time.time()-t0:.1f}s)") - - ok = fail = skip = 0 - for track, out_dir in all_tasks: - r = generate_one(track, out_dir, sa_model, model_config["sample_rate"]) - if r == "ok": ok += 1 - elif r == "skip": skip += 1 - else: fail += 1 - - print(f"\n完成: {ok} ok, {skip} skip, {fail} fail") - -if __name__ == "__main__": - main() diff --git a/audio_1/scripts/06_convert_all_to_mp3.py b/audio_1/scripts/06_convert_all_to_mp3.py deleted file mode 100644 index 68af17e..0000000 --- a/audio_1/scripts/06_convert_all_to_mp3.py +++ /dev/null @@ -1,83 +0,0 @@ -#!/usr/bin/env python3 -""" -步骤 6：格式整理 — 将 audio_1 目录下所有残留 WAV 转换为 MP3，并清理中间文件 -输出：各子目录内的 *_v1.mp3 - -使用方法： - python audio_1/scripts/06_convert_all_to_mp3.py [--dry-run] [--clean-wav] -""" -import os, subprocess, argparse - -AUDIO_1_DIR = "/home/xsl/blind/audio_1" - -def wav_to_mp3(src, dst): - subprocess.run(["ffmpeg", "-y", "-i", src, "-codec:a", "libmp3lame", - "-b:a", "128k", "-ar", "44100", "-ac", "2", dst], - check=True, capture_output=True) - -def main(): - parser = argparse.ArgumentParser() - parser.add_argument("--dry-run", action="store_true", help="只列出，不执行") - parser.add_argument("--clean-wav", action="store_true", help="转换后删除 WAV 源文件") - args = parser.parse_args() - - wavs_found = [] - for root, dirs, files in os.walk(AUDIO_1_DIR): - # 跳过 scripts 目录 - if "scripts" in root: - continue - for fname in files: - if fname.endswith(".wav"): - wav_path = os.path.join(root, fname) - mp3_path = wav_path.replace(".wav", ".mp3") - wavs_found.append((wav_path, mp3_path)) - - if not wavs_found: - print("无需转换的 WAV 文件。") - return - - print(f"\n找到 {len(wavs_found)} 个 WAV 文件\n") - ok = skip = fail = 0 - for wav, mp3 in wavs_found: - rel = os.path.relpath(wav, AUDIO_1_DIR) - if os.path.exists(mp3): - print(f" [SKIP] {rel}") - skip += 1 - continue - if args.dry_run: - print(f" [DRY] {rel} → {os.path.basename(mp3)}") - continue - try: - wav_to_mp3(wav, mp3) - size = os.path.getsize(mp3) // 1024 - print(f" [OK] {rel} → {size}KB") - if args.clean_wav: - os.remove(wav) - ok += 1 - except Exception as e: - print(f" [FAIL] {rel}: {e}") - fail += 1 - - print(f"\n完成: {ok} ok, {skip} skip, {fail} fail") - - # 统计各目录 MP3 数量 - print("\n─── 音频资源统计 ───") - subdirs = [ - ("tts/v1_voxcpm2", "TTS v1 VoxCPM2"), - ("music/v1_acestep/music", "Music v1 ACE-Step BGM"), - ("music/v1_acestep/sfx", "Music v1 ACE-Step SFX"), - ("music/v1_acestep/ambience", "Music v1 ACE-Step Amb"), - ("music/v2_stableaudio/music", "Music v2 StableAudio BGM"), - ("music/v2_stableaudio/sfx", "Music v2 StableAudio SFX"), - ("music/v2_stableaudio/ambience", "Music v2 StableAudio Amb"), - ] - for rel_dir, label in subdirs: - full = os.path.join(AUDIO_1_DIR, rel_dir) - if not os.path.isdir(full): - count = 0 - else: - count = len([f for f in os.listdir(full) if f.endswith(".mp3")]) - print(f" {label:<30} {count:>4} 条") - -if __name__ == "__main__": - main() diff --git a/audio_1/tts/v1_voxcpm2/lv11_0015_mom_call_01_wav_v1.mp3 b/audio_1/tts/v1_voxcpm2/lv11_0015_mom_call_01_wav_v1.mp3 deleted file mode 100644 index e28d103..0000000 Binary files a/audio_1/tts/v1_voxcpm2/lv11_0015_mom_call_01_wav_v1.mp3 and /dev/null differ diff --git a/audio_1/tts/v1_voxcpm2/lv11_0200_mom_voice_01_seg1_wav_v1.mp3 b/audio_1/tts/v1_voxcpm2/lv11_0200_mom_voice_01_seg1_wav_v1.mp3 deleted file mode 100644 index a696f29..0000000 Binary files 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b/audio_1/tts/v2_cosyvoice2/v2_sys_paused_wav_v1.mp3 deleted file mode 100644 index 112ae2d..0000000 Binary files a/audio_1/tts/v2_cosyvoice2/v2_sys_paused_wav_v1.mp3 and /dev/null differ diff --git a/audio_1/tts/v2_cosyvoice2/v2_sys_wait_reply_wav_v1.mp3 b/audio_1/tts/v2_cosyvoice2/v2_sys_wait_reply_wav_v1.mp3 deleted file mode 100644 index f3669ca..0000000 Binary files a/audio_1/tts/v2_cosyvoice2/v2_sys_wait_reply_wav_v1.mp3 and /dev/null differ diff --git a/audio_1/执行文档.md b/audio_1/执行文档.md deleted file mode 100644 index 135e0be..0000000 --- a/audio_1/执行文档.md +++ /dev/null @@ -1,169 +0,0 @@ -# 《林夏》音频资源重制执行文档 - -> 创建日期：2026-05-20 -> 目标：独立生成一套 TTS 语音 + 两套音乐音效，供对比选择 -> 游戏代码不做任何修改，audio_1/ 仅用于评听比较 - ---- - -## 一、目录结构 - -``` -audio_1/ -├── 执行文档.md ← 本文件 -├── tts/ -│ └── v1_voxcpm2/ TTS版本1：VoxCPM2（原方案复刻） -└── music/ - ├── v1_acestep/ 音乐版本1：ACE-Step 1.5（原方案复刻） - │ ├── music/ - │ ├── sfx/ - │ └── ambience/ - └── v2_stableaudio/ 音乐版本2：Stable Audio Open 1.0 - ├── music/ - ├── sfx/ - └── ambience/ -``` - -**文件命名规则：** 与 `audio/mp3/tts/` 完全相同（如 `v2_msg02_linxia_warm_wav_v1.mp3`） -→ 若要上游切换到某版本，只需将对应目录复制覆盖 `audio/mp3/tts/` 即可 - ---- - -## 二、资源清单 - -| 类别 | 文件数 | 说明 | -|------|--------|------| -| TTS — NPC 来电语音 | ~30 | lv11_* 开头，妈妈/小美/外卖/阿哲等11个角色 | -| TTS — 林夏回应 | ~90 | v2_msg*_linxia_* | -| TTS — NPC 反应 | ~60 | v2_msg*_react_* | -| TTS — 系统提示 | 4 | v2_sys_* | -| TTS — 结局旁白 | 7 | v2_ending_* | -| **TTS 合计** | **~190** | | -| 音乐 BGM | 4 | lv11_bgm_m1~m4 | -| 铃声 | 9 | lv11_ring_* | -| 音效 SFX | 18 | sfx_* | -| 环境氛围 | 6 | amb_* | -| **音乐合计/版本** | **37** | × 2 版本 = 74个文件 | - ---- - -## 三、技术方案 - -### 音乐工具对比 - -| 项目 | v1 ACE-Step | v2 Stable Audio | -|------|------------|-----------------| -| conda 环境 | acestep | stableaudio | -| 优势 | 已验证效果，可控 seed | 44.1kHz 立体声，音效更真实 | -| 劣势 | 音乐结构感强，SFX 偏长 | 不擅长节奏明确的循环 BGM | -| 最适合 | BGM + 铃声 | SFX + 环境氛围 | - ---- - -## 四、执行步骤 - -### 步骤 0：准备工作（一次性） - -```bash -# 创建目录 -mkdir -p /home/xsl/blind/audio_1/tts/v1_voxcpm2 -mkdir -p /home/xsl/blind/audio_1/music/v1_acestep/{music,sfx,ambience} -mkdir -p /home/xsl/blind/audio_1/music/v2_stableaudio/{music,sfx,ambience} -``` - -### 步骤 1：TTS v1 — VoxCPM2 - -```bash -# 确认服务运行 -curl http://127.0.0.1:8000/health - -# 执行批量生成（输出到 audio_1/tts/v1_voxcpm2/） -python audio_1/scripts/01_gen_tts_voxcpm2.py -``` - -**预计耗时**：约 90 分钟（~190条 × ~30s/条） - -### 步骤 2：音乐 v1 — ACE-Step - -```bash -conda activate acestep -python audio_1/scripts/04_gen_music_acestep.py -``` - -**预计耗时**：约 60 分钟（37 条，每条 20~90s） - -### 步骤 3：音乐 v2 — Stable Audio - -```bash -conda activate stableaudio -python audio_1/scripts/05_gen_music_stableaudio.py -``` - -**预计耗时**：约 90 分钟（37 条，每条 ~2min） - -### 步骤 4：格式统一 - -```bash -# 所有版本统一转为 mp3 128kbps 24kHz mono -python audio_1/scripts/06_convert_all_to_mp3.py -``` - ---- - -## 五、脚本清单 - -| 脚本 | 职责 | -|------|------| -| `scripts/01_gen_tts_voxcpm2.py` | VoxCPM2 批量 TTS，输出到 tts/v1_voxcpm2/ | -| `scripts/04_gen_music_acestep.py` | ACE-Step 批量生成，输出到 music/v1_acestep/ | -| `scripts/05_gen_music_stableaudio.py` | Stable Audio 批量生成，输出到 music/v2_stableaudio/ | -| `scripts/06_convert_all_to_mp3.py` | WAV → MP3 统一格式转换 | - ---- - -## 六、角色参考音频路径 - -| 角色 key | 参考音频 | 语速倍率 | -|----------|---------|---------| -| linxia | voice/linxia/linxia_ref.wav | 1.00 | -| mom | voice/mom/mom_extra_04.wav | 0.92 | -| azhe | voice/azhe/azhe_extra_05.wav | 1.05 | -| xiaomei | voice/xiaomei/xiaomei_03.wav | 1.10 | -| xiaomei_drunk | voice/xiaomei/xiaomei_03.wav | 0.95 | -| zhounan | voice/zhounan/zhounan_extra_10.wav | 0.95 | -| hr | voice/hr/hr_extra_18.wav | 1.00 | -| anan | voice/anan/anan_extra_13.wav | 1.15 | -| dorm_a | voice/dorm_a/000017e3-...wav | 1.10 | -| dorm_b | voice/dorm_b/a001c446-...wav | 1.00 | -| dorm_c | voice/dorm_c/dorm_c_extra_15.wav | 0.95 | -| delivery | voice/delivery/delivery_01.wav | 1.20 | -| self_3y | voice/linxia/linxia_ref.wav | 1.15 | - ---- - -## 七、评听方式（完成后） - -所有文件名与游戏引用完全一致。评听时可临时替换： - -```bash -# 备份原版本 -cp -r audio/mp3/tts audio/mp3/tts_original - -# 试听某个 TTS 版本 -cp -r audio_1/tts/v1_voxcpm2/* audio/mp3/tts/ - -# 试听音乐版本 -cp -r audio_1/music/v2_stableaudio/* audio/mp3/ -``` - ---- - -## 八、进度记录 - -| 步骤 | 状态 | 完成时间 | 备注 | -|------|------|---------|------| -| 步骤 0：准备（创建目录） | ⬜ 待执行 | — | — | -| 步骤 1：TTS v1 VoxCPM2 | ⬜ 待执行 | — | — | -| 步骤 2：音乐 v1 ACE-Step | ⬜ 待执行 | — | — | -| 步骤 3：音乐 v2 Stable Audio | ⬜ 待执行 | — | — | -| 步骤 4：格式转换 | ⬜ 待执行 | — | — | diff --git a/audio_2/scripts/01_gen_tts_styled.py b/audio_2/scripts/01_gen_tts_styled.py new file mode 100644 index 0000000..c3569ae --- /dev/null +++ b/audio_2/scripts/01_gen_tts_styled.py @@ -0,0 +1,225 @@ +#!/usr/bin/env python3 +""" +《林夏》TTS v2 — VoxCPM2 Style Control 批量生成 +输出：audio_2/tts/v2_styled/ + +用法: + VOXCPM_PORT=8002 bash /home/xsl/tts-server/start-voxcpm.sh + VOXCPM_PORT=8002 python audio_2/scripts/01_gen_tts_styled.py + python audio_2/scripts/01_gen_tts_styled.py --dry-run + python audio_2/scripts/01_gen_tts_styled.py --role linxia --test +""" +import argparse +import base64 +import glob +import os +import subprocess +import sys +import tempfile +import time + +import requests + +PROJECT_DIR = "/home/xsl/blind" +VOICE_DIR = f"{PROJECT_DIR}/voice" +OUT_DIR = f"{PROJECT_DIR}/audio_2/tts/v2_styled" +HOST = os.environ.get("VOXCPM_HOST", "127.0.0.1") +PORT = os.environ.get("VOXCPM_PORT", "8002") +BASE_URL = f"http://{HOST}:{PORT}" + +sys.path.insert(0, f"{PROJECT_DIR}/audio") +sys.path.insert(0, f"{PROJECT_DIR}/audio_2") + +from batch_tts_voxcpm import ROLES, LINES # noqa: E402 +from voice_style_prompts import get_style # noqa: E402 + +os.makedirs(OUT_DIR, exist_ok=True) + + +def find_ref_audio(role_key): + role_dir = os.path.join(VOICE_DIR, ROLES[role_key]["dir"]) + for ext in ("*.wav", "*.mp3", "*.flac"): + files = sorted(glob.glob(os.path.join(role_dir, ext))) + if files: + return files[0] + return None + + +def convert_to_wav(src, dst): + subprocess.run( + ["ffmpeg", "-y", "-i", src, "-ar", "16000", "-ac", "1", "-acodec", "pcm_s16le", dst], + check=True, + capture_output=True, + ) + + +def wav_to_base64(path): + with open(path, "rb") as f: + return base64.b64encode(f.read()).decode() + + +def apply_speed(src, speed, dst): + if abs(speed - 1.0) < 0.01: + import shutil + + shutil.copy2(src, dst) + return + subprocess.run( + ["ffmpeg", "-y", "-i", src, "-filter:a", f"atempo={speed}", "-acodec", "pcm_s16le", dst], + check=True, + capture_output=True, + ) + + +def wav_to_mp3(src, dst): + subprocess.run( + [ + "ffmpeg", "-y", "-i", src, + "-codec:a", "libmp3lame", "-b:a", "128k", "-ar", "24000", "-ac", "1", + dst, + ], + check=True, + capture_output=True, + ) + + +def check_server(): + try: + r = requests.get(f"{BASE_URL}/health", timeout=5) + if r.status_code != 200: + return False + data = r.json() + return data.get("status") == "ok" + except Exception: + return False + + +def register_voice(wav_path): + r = requests.post( + f"{BASE_URL}/v1/voices", + json={"wav_base64": wav_to_base64(wav_path)}, + timeout=60, + ) + r.raise_for_status() + return r.json()["voice_id"] + + +def synthesize_styled(voice_id, text, style, cfg=2.0, steps=10): + r = requests.post( + f"{BASE_URL}/v1/speech/styled", + json={ + "text": text, + "style": style, + "voice_id": voice_id, + "cfg_value": cfg, + "inference_timesteps": steps, + }, + timeout=180, + ) + r.raise_for_status() + return r.content + + +def main(): + parser = argparse.ArgumentParser(description="《林夏》Style Control 批量 TTS → audio_2") + parser.add_argument("--role", help="只合成指定角色") + parser.add_argument("--test", action="store_true", help="只合成第一条") + parser.add_argument("--dry-run", action="store_true", help="只打印 style 分配") + parser.add_argument("--force", action="store_true", help="覆盖已存在文件") + parser.add_argument("--cfg", type=float, default=2.0) + parser.add_argument("--steps", type=int, default=10) + args = parser.parse_args() + + lines = LINES + if args.role: + lines = [(f, r, t) for f, r, t in lines if r == args.role or r.startswith(args.role)] + if args.test: + lines = lines[:1] + + print(f"\n{'=' * 60}") + print(" 《林夏》TTS v2 — Style Control") + print(f" 服务: {BASE_URL}") + print(f" 输出: {OUT_DIR}") + print(f" 共 {len(lines)} 条") + print(f"{'=' * 60}\n") + + if args.dry_run: + for fname, role, text in lines: + style = get_style(fname, role, text) + out = os.path.join(OUT_DIR, f"{fname}_wav_v2.mp3") + mark = "✓" if os.path.exists(out) else "·" + print(f" [{mark}] {fname} [{role}]") + print(f" style: {style}") + print(f" text: {text[:50]}{'...' if len(text) > 50 else ''}\n") + return + + if not check_server(): + print(f"[错误] VoxCPM2 服务未就绪: {BASE_URL}/health") + print("请先启动:") + print(f" VOXCPM_PORT={PORT} bash /home/xsl/tts-server/start-voxcpm.sh") + sys.exit(1) + + voice_ids = {} + tmp = tempfile.mkdtemp(prefix="voxcpm2_") + for role_key in sorted(set(r for _, r, _ in lines)): + ref = find_ref_audio(role_key) + if not ref: + print(f" [跳过] {role_key}: 未找到参考音频") + continue + wav = ref if ref.endswith(".wav") else os.path.join(tmp, f"{role_key}.wav") + if not ref.endswith(".wav"): + convert_to_wav(ref, wav) + print(f" 注册音色: {role_key} ... ", end="", flush=True) + voice_ids[role_key] = register_voice(wav) + print(f"ok ({voice_ids[role_key][:10]}...)") + + ok = skip = fail = 0 + manifest_path = os.path.join(OUT_DIR, "style_manifest.tsv") + manifest_lines = ["filename\trole\tstyle\ttext\n"] + + for i, (fname, role, text) in enumerate(lines, 1): + out_mp3 = os.path.join(OUT_DIR, f"{fname}_wav_v2.mp3") + style = get_style(fname, role, text) + manifest_lines.append( + f"{fname}\t{role}\t{style.replace(chr(9), ' ')}\t{text.replace(chr(9), ' ')}\n" + ) + + if os.path.exists(out_mp3) and not args.force: + print(f" [{i:3d}/{len(lines)}] SKIP {fname}") + skip += 1 + continue + + if role not in voice_ids: + print(f" [{i:3d}/{len(lines)}] MISS {fname} (无音色)") + fail += 1 + continue + + print(f" [{i:3d}/{len(lines)}] {fname} ... ", end="", flush=True) + t0 = time.time() + try: + wav_bytes = synthesize_styled( + voice_ids[role], text, style, cfg=args.cfg, steps=args.steps + ) + raw_wav = os.path.join(tmp, f"{fname}_raw.wav") + spd_wav = os.path.join(tmp, f"{fname}_spd.wav") + with open(raw_wav, "wb") as f: + f.write(wav_bytes) + apply_speed(raw_wav, ROLES[role]["speed"], spd_wav) + wav_to_mp3(spd_wav, out_mp3) + kb = os.path.getsize(out_mp3) // 1024 + print(f"ok ({time.time() - t0:.1f}s, {kb}KB)") + ok += 1 + except Exception as e: + print(f"FAIL: {e}") + fail += 1 + + with open(manifest_path, "w", encoding="utf-8") as f: + f.writelines(manifest_lines) + + print(f"\n完成: {ok} ok, {skip} skip, {fail} fail") + print(f"输出: {OUT_DIR}") + print(f"清单: {manifest_path}") + + +if __name__ == "__main__": + main() diff --git a/audio_2/scripts/02_gen_tts_voice_design.py b/audio_2/scripts/02_gen_tts_voice_design.py new file mode 100644 index 0000000..1f85800 --- /dev/null +++ b/audio_2/scripts/02_gen_tts_voice_design.py @@ -0,0 +1,168 @@ +#!/usr/bin/env python3 +""" +《林夏》TTS v3 — VoxCPM2 Voice Design 批量生成 +纯提示词生成音色，不使用参考音频。 + +输出：audio_2/tts/v3_voice_design/ + +用法: + VOXCPM_PORT=8002 bash /home/xsl/tts-server/start-voxcpm.sh + VOXCPM_PORT=8002 python audio_2/scripts/02_gen_tts_voice_design.py + python audio_2/scripts/02_gen_tts_voice_design.py --dry-run + python audio_2/scripts/02_gen_tts_voice_design.py --role delivery --test +""" +import argparse +import os +import subprocess +import sys +import tempfile +import time + +import requests + +PROJECT_DIR = "/home/xsl/blind" +OUT_DIR = f"{PROJECT_DIR}/audio_2/tts/v3_voice_design" +HOST = os.environ.get("VOXCPM_HOST", "127.0.0.1") +PORT = os.environ.get("VOXCPM_PORT", "8002") +BASE_URL = f"http://{HOST}:{PORT}" + +sys.path.insert(0, f"{PROJECT_DIR}/audio") +sys.path.insert(0, f"{PROJECT_DIR}/audio_2") + +from batch_tts_voxcpm import ROLES, LINES # noqa: E402 +from voice_style_prompts import get_voice_design # noqa: E402 + +os.makedirs(OUT_DIR, exist_ok=True) + + +def apply_speed(src, speed, dst): + if abs(speed - 1.0) < 0.01: + import shutil + + shutil.copy2(src, dst) + return + subprocess.run( + ["ffmpeg", "-y", "-i", src, "-filter:a", f"atempo={speed}", "-acodec", "pcm_s16le", dst], + check=True, + capture_output=True, + ) + + +def wav_to_mp3(src, dst): + subprocess.run( + [ + "ffmpeg", "-y", "-i", src, + "-codec:a", "libmp3lame", "-b:a", "128k", "-ar", "24000", "-ac", "1", + dst, + ], + check=True, + capture_output=True, + ) + + +def check_server(): + try: + r = requests.get(f"{BASE_URL}/health", timeout=5) + return r.status_code == 200 and r.json().get("status") == "ok" + except Exception: + return False + + +def synthesize_design(text, style, cfg=2.0, steps=10): + """Voice Design: 不传 voice_id。""" + r = requests.post( + f"{BASE_URL}/v1/speech/styled", + json={ + "text": text, + "style": style, + "voice_id": None, + "cfg_value": cfg, + "inference_timesteps": steps, + }, + timeout=180, + ) + r.raise_for_status() + return r.content + + +def main(): + parser = argparse.ArgumentParser(description="《林夏》Voice Design 批量 TTS → audio_2") + parser.add_argument("--role", help="只合成指定角色") + parser.add_argument("--test", action="store_true", help="只合成第一条") + parser.add_argument("--dry-run", action="store_true") + parser.add_argument("--force", action="store_true") + parser.add_argument("--cfg", type=float, default=2.0) + parser.add_argument("--steps", type=int, default=10) + args = parser.parse_args() + + lines = LINES + if args.role: + lines = [(f, r, t) for f, r, t in lines if r == args.role or r.startswith(args.role)] + if args.test: + lines = lines[:1] + + print(f"\n{'=' * 60}") + print(" 《林夏》TTS v3 — Voice Design（无参考音频）") + print(f" 服务: {BASE_URL}") + print(f" 输出: {OUT_DIR}") + print(f" 共 {len(lines)} 条") + print(f"{'=' * 60}\n") + + if args.dry_run: + for fname, role, text in lines: + style = get_voice_design(fname, role, text) + out = os.path.join(OUT_DIR, f"{fname}_wav_v3.mp3") + mark = "✓" if os.path.exists(out) else "·" + print(f" [{mark}] {fname} [{role}]") + print(f" design: {style}") + print(f" text: {text[:50]}{'...' if len(text) > 50 else ''}\n") + return + + if not check_server(): + print(f"[错误] VoxCPM2 服务未就绪: {BASE_URL}/health") + print(f" VOXCPM_PORT={PORT} bash /home/xsl/tts-server/start-voxcpm.sh") + sys.exit(1) + + tmp = tempfile.mkdtemp(prefix="voxcpm3_") + ok = skip = fail = 0 + manifest_path = os.path.join(OUT_DIR, "voice_design_manifest.tsv") + manifest_lines = ["filename\trole\tdesign_prompt\ttext\n"] + + for i, (fname, role, text) in enumerate(lines, 1): + out_mp3 = os.path.join(OUT_DIR, f"{fname}_wav_v3.mp3") + style = get_voice_design(fname, role, text) + manifest_lines.append( + f"{fname}\t{role}\t{style.replace(chr(9), ' ')}\t{text.replace(chr(9), ' ')}\n" + ) + + if os.path.exists(out_mp3) and not args.force: + print(f" [{i:3d}/{len(lines)}] SKIP {fname}") + skip += 1 + continue + + print(f" [{i:3d}/{len(lines)}] {fname} [{role}] ... ", end="", flush=True) + t0 = time.time() + try: + wav_bytes = synthesize_design(text, style, cfg=args.cfg, steps=args.steps) + raw_wav = os.path.join(tmp, f"{fname}_raw.wav") + spd_wav = os.path.join(tmp, f"{fname}_spd.wav") + with open(raw_wav, "wb") as f: + f.write(wav_bytes) + apply_speed(raw_wav, ROLES[role]["speed"], spd_wav) + wav_to_mp3(spd_wav, out_mp3) + print(f"ok ({time.time() - t0:.1f}s, {os.path.getsize(out_mp3) // 1024}KB)") + ok += 1 + except Exception as e: + print(f"FAIL: {e}") + fail += 1 + + with open(manifest_path, "w", encoding="utf-8") as f: + f.writelines(manifest_lines) + + print(f"\n完成: {ok} ok, {skip} skip, {fail} fail") + print(f"输出: {OUT_DIR}") + print(f"清单: {manifest_path}") + + +if __name__ == "__main__": + main() diff --git a/audio_2/scripts/03_gen_voice_samples.py b/audio_2/scripts/03_gen_voice_samples.py new file mode 100644 index 0000000..fb69764 --- /dev/null +++ b/audio_2/scripts/03_gen_voice_samples.py @@ -0,0 +1,177 @@ +#!/usr/bin/env python3 +""" +《林夏》Voice Design 试听样本 — 每角色 5 条约 10 秒音频 + +输出：audio_2/tts/v4_voice_samples/{role}/{role}_v01.mp3 … v05.mp3 + +用法: + VOXCPM_PORT=8002 python audio_2/scripts/03_gen_voice_samples.py + python audio_2/scripts/03_gen_voice_samples.py --role delivery + python audio_2/scripts/03_gen_voice_samples.py --dry-run +""" +import argparse +import os +import subprocess +import sys +import tempfile +import time + +import requests + +PROJECT_DIR = "/home/xsl/blind" +OUT_ROOT = f"{PROJECT_DIR}/audio_2/tts/v4_voice_samples" +os.makedirs(OUT_ROOT, exist_ok=True) +HOST = os.environ.get("VOXCPM_HOST", "127.0.0.1") +PORT = os.environ.get("VOXCPM_PORT", "8002") +BASE_URL = f"http://{HOST}:{PORT}" + +sys.path.insert(0, f"{PROJECT_DIR}/audio_2") +from voice_sample_prompts import AUDITION_TEXT, ROLE_VOICE_VARIANTS # noqa: E402 + + +def wav_to_mp3(src, dst): + subprocess.run( + [ + "ffmpeg", "-y", "-i", src, + "-codec:a", "libmp3lame", "-b:a", "128k", "-ar", "24000", "-ac", "1", + dst, + ], + check=True, + capture_output=True, + ) + + +def wav_duration(path): + r = subprocess.run( + [ + "ffprobe", "-v", "error", "-show_entries", "format=duration", + "-of", "default=noprint_wrappers=1:nokey=1", path, + ], + capture_output=True, + text=True, + check=True, + ) + return float(r.stdout.strip()) + + +def check_server(): + try: + r = requests.get(f"{BASE_URL}/health", timeout=5) + return r.status_code == 200 and r.json().get("status") == "ok" + except Exception: + return False + + +def synthesize_design(text, style, cfg=2.0, steps=10): + r = requests.post( + f"{BASE_URL}/v1/speech/styled", + json={ + "text": text, + "style": style, + "voice_id": None, + "cfg_value": cfg, + "inference_timesteps": steps, + }, + timeout=180, + ) + r.raise_for_status() + return r.content + + +def main(): + parser = argparse.ArgumentParser(description="生成每角色 5 条 Voice Design 试听样本") + parser.add_argument("--role", help="只生成指定角色") + parser.add_argument("--dry-run", action="store_true") + parser.add_argument("--force", action="store_true") + parser.add_argument("--cfg", type=float, default=2.0) + parser.add_argument("--steps", type=int, default=10) + args = parser.parse_args() + + roles = sorted(ROLE_VOICE_VARIANTS.keys()) + if args.role: + roles = [r for r in roles if r == args.role or r.startswith(args.role)] + if not roles: + print(f"[错误] 未知角色: {args.role}") + sys.exit(1) + + total = sum(len(ROLE_VOICE_VARIANTS[r]) for r in roles) + print(f"\n{'=' * 60}") + print(" 《林夏》Voice Design 试听样本（每角色 5 条）") + print(f" 服务: {BASE_URL}") + print(f" 输出: {OUT_ROOT}") + print(f" 角色: {len(roles)} 样本: {total}") + print(f"{'=' * 60}\n") + + if args.dry_run: + for role in roles: + text = AUDITION_TEXT[role] + print(f"[{role}] ({len(text)} 字) {text[:40]}...") + for i, prompt in enumerate(ROLE_VOICE_VARIANTS[role], 1): + print(f" v{i:02d}: {prompt}") + print() + return + + if not check_server(): + print(f"[错误] VoxCPM2 未就绪: {BASE_URL}/health") + sys.exit(1) + + os.makedirs(OUT_ROOT, exist_ok=True) + tmp = tempfile.mkdtemp(prefix="voxcpm_sample_") + manifest_path = os.path.join(OUT_ROOT, "samples_manifest.tsv") + manifest = ["role\tvariant\tseconds\tprompt\ttext\tfile\n"] + ok = skip = fail = 0 + n = 0 + + for role in roles: + role_dir = os.path.join(OUT_ROOT, role) + os.makedirs(role_dir, exist_ok=True) + text = AUDITION_TEXT[role] + variants = ROLE_VOICE_VARIANTS[role] + + for i, prompt in enumerate(variants, 1): + n += 1 + tag = f"v{i:02d}" + out_mp3 = os.path.join(role_dir, f"{role}_{tag}.mp3") + out_wav = os.path.join(role_dir, f"{role}_{tag}.wav") + + if os.path.exists(out_mp3) and not args.force: + print(f" [{n}/{total}] SKIP {role}_{tag}") + skip += 1 + continue + + print(f" [{n}/{total}] {role}_{tag} ... ", end="", flush=True) + t0 = time.time() + try: + wav_bytes = synthesize_design(text, prompt, cfg=args.cfg, steps=args.steps) + raw_wav = os.path.join(tmp, f"{role}_{tag}.wav") + with open(raw_wav, "wb") as f: + f.write(wav_bytes) + subprocess.run( + ["ffmpeg", "-y", "-i", raw_wav, "-acodec", "pcm_s16le", "-ar", "24000", "-ac", "1", out_wav], + check=True, + capture_output=True, + ) + wav_to_mp3(out_wav, out_mp3) + dur = wav_duration(out_mp3) + manifest.append( + f"{role}\t{tag}\t{dur:.1f}\t{prompt.replace(chr(9), ' ')}\t" + f"{text.replace(chr(9), ' ')}\t{role}/{role}_{tag}.mp3\n" + ) + print(f"ok ({time.time() - t0:.1f}s, {dur:.1f}s)") + ok += 1 + except Exception as e: + print(f"FAIL: {e}") + fail += 1 + + with open(manifest_path, "w", encoding="utf-8") as f: + f.writelines(manifest) + + print(f"\n完成: {ok} ok, {skip} skip, {fail} fail") + print(f"试听目录: {OUT_ROOT}") + print(f"清单: {manifest_path}") + print("\n选定样本后告诉我，例如: delivery v03, linxia v02") + print("我会把对应 wav 注册为参考音频，再跑全量克隆。") + + +if __name__ == "__main__": + main() diff --git a/audio_2/scripts/04_gen_tts_clone.py b/audio_2/scripts/04_gen_tts_clone.py new file mode 100644 index 0000000..f7d21d3 --- /dev/null +++ b/audio_2/scripts/04_gen_tts_clone.py @@ -0,0 +1,271 @@ +#!/usr/bin/env python3 +""" +《林夏》TTS v5 — 选定试听样本克隆 + Style Control 表演 + +参考音频：audio_2/tts/v4_voice_samples/{role}/*.wav（每角色保留 1 条） +输出：audio_2/tts/v5_cloned/*_wav_v5.mp3 +部署：audio/mp3/tts/*_wav_v1.mp3（游戏直接可用） + +用法: + VOXCPM_PORT=8002 python audio_2/scripts/04_gen_tts_clone.py --force + python audio_2/scripts/04_gen_tts_clone.py --role delivery --test + python audio_2/scripts/04_gen_tts_clone.py --no-deploy +""" +import argparse +import base64 +import glob +import os +import shutil +import subprocess +import sys +import tempfile +import time + +import requests + +PROJECT_DIR = "/home/xsl/blind" +SAMPLE_DIR = f"{PROJECT_DIR}/audio_2/tts/v4_voice_samples" +OUT_DIR = f"{PROJECT_DIR}/audio_2/tts/v5_cloned" +DEPLOY_DIR = f"{PROJECT_DIR}/audio/mp3/tts" +HOST = os.environ.get("VOXCPM_HOST", "127.0.0.1") +PORT = os.environ.get("VOXCPM_PORT", "8002") +BASE_URL = f"http://{HOST}:{PORT}" + +sys.path.insert(0, f"{PROJECT_DIR}/audio") +sys.path.insert(0, f"{PROJECT_DIR}/audio_2") + +from batch_tts_voxcpm import ROLES, LINES # noqa: E402 +from voice_style_prompts import get_clone_style # noqa: E402 + +# story.js 引用但不在 LINES 中的台词 +EXTRA_LINES = [ + ( + "lv11_0030_self3y_voice_01", + "self_3y", + "哦对，今天是我来北京的第一百天。妈，我没跟你说，我自己数的。" + "这个城市好大。我走了很多路，见了很多人。我觉得我还没准备好，" + "但我又觉得好像准备了很久很久了。你们不用担心我。我很好。" + "以后的我，如果你听到这条，记得要好好的。", + ), + ( + "lv11_0030_self3y_voice_02", + "self_3y", + "我今天又没睡好。不是失眠，就是睡不踏实。" + "北京这个地方，它会让你觉得你随时都要更好，随时都要更努力。" + "我在努力。但我不知道在努力什么。" + "我就想留下一条记录。今天，今天是……算了，就今天吧。", + ), + ( + "lv11_0030_self3y_voice_03", + "self_3y", + "是我。23岁的我。我设了三年后打开。" + "我不知道那时候的你怎么样了。如果你很好，就当我多虑了。" + "如果你不好——你看，你熬过来了对不对。" + "你23岁的时候，也觉得很难。但你还是过来了。" + "所以……撑住啊。", + ), + ("lv11_sys_memo_01", "linxia", "三年前今天，一条未听的录音"), +] + +os.makedirs(OUT_DIR, exist_ok=True) +os.makedirs(DEPLOY_DIR, exist_ok=True) + + +def find_selected_ref(role_key): + role_dir = os.path.join(SAMPLE_DIR, role_key) + wavs = sorted(glob.glob(os.path.join(role_dir, "*.wav"))) + if not wavs: + return None + if len(wavs) > 1: + print(f" [警告] {role_key} 有多条参考音频，使用: {os.path.basename(wavs[0])}") + return wavs[0] + + +def convert_to_wav(src, dst): + subprocess.run( + ["ffmpeg", "-y", "-i", src, "-ar", "16000", "-ac", "1", "-acodec", "pcm_s16le", dst], + check=True, + capture_output=True, + ) + + +def wav_to_base64(path): + with open(path, "rb") as f: + return base64.b64encode(f.read()).decode() + + +def apply_speed(src, speed, dst): + if abs(speed - 1.0) < 0.01: + shutil.copy2(src, dst) + return + subprocess.run( + ["ffmpeg", "-y", "-i", src, "-filter:a", f"atempo={speed}", "-acodec", "pcm_s16le", dst], + check=True, + capture_output=True, + ) + + +def wav_to_mp3(src, dst): + subprocess.run( + [ + "ffmpeg", "-y", "-i", src, + "-codec:a", "libmp3lame", "-b:a", "128k", "-ar", "24000", "-ac", "1", + dst, + ], + check=True, + capture_output=True, + ) + + +def check_server(): + try: + r = requests.get(f"{BASE_URL}/health", timeout=5) + return r.status_code == 200 and r.json().get("status") == "ok" + except Exception: + return False + + +def register_voice(wav_path): + r = requests.post( + f"{BASE_URL}/v1/voices", + json={"wav_base64": wav_to_base64(wav_path)}, + timeout=60, + ) + r.raise_for_status() + return r.json()["voice_id"] + + +def synthesize_styled(voice_id, text, style, cfg=2.0, steps=10): + payload = { + "text": text, + "style": style, + "voice_id": voice_id, + "cfg_value": cfg, + "inference_timesteps": steps, + } + r = requests.post(f"{BASE_URL}/v1/speech/styled", json=payload, timeout=180) + r.raise_for_status() + return r.content + + +def main(): + parser = argparse.ArgumentParser(description="选定样本克隆 → v5 + 部署游戏目录") + parser.add_argument("--role", help="只合成指定角色") + parser.add_argument("--test", action="store_true", help="只合成第一条") + parser.add_argument("--dry-run", action="store_true") + parser.add_argument("--force", action="store_true") + parser.add_argument("--no-deploy", action="store_true", help="不复制到 audio/mp3/tts") + parser.add_argument("--cfg", type=float, default=2.0) + parser.add_argument("--steps", type=int, default=10) + args = parser.parse_args() + + lines = LINES + EXTRA_LINES + if args.role: + lines = [(f, r, t) for f, r, t in lines if r == args.role or r.startswith(args.role)] + if args.test: + lines = lines[:1] + + roles_needed = sorted(set(r for _, r, _ in lines)) + + print(f"\n{'=' * 60}") + print(" 《林夏》TTS v5 — 试听样本克隆") + print(f" 参考: {SAMPLE_DIR}") + print(f" 输出: {OUT_DIR}") + if not args.no_deploy: + print(f" 部署: {DEPLOY_DIR} (*_wav_v1.mp3)") + print(f" 台词: {len(lines)} 条 角色: {len(roles_needed)}") + print(f"{'=' * 60}\n") + + refs = {} + for role in roles_needed: + ref = find_selected_ref(role) + if ref: + refs[role] = ref + print(f" [{role}] ← {os.path.basename(ref)}") + else: + print(f" [{role}] ✗ 未找到参考音频") + + if args.dry_run: + print() + for fname, role, text in lines: + style = get_clone_style(fname, role, text) or "(无表演修饰)" + print(f" {fname} [{role}] style={style}") + print(f" ref={'yes' if role in refs else 'NO'} text={text[:40]}...") + return + + missing = [r for r in roles_needed if r not in refs] + if missing: + print(f"\n[错误] 缺少参考音频: {', '.join(missing)}") + sys.exit(1) + + if not check_server(): + print(f"[错误] VoxCPM2 未就绪: {BASE_URL}/health") + sys.exit(1) + + tmp = tempfile.mkdtemp(prefix="voxcpm5_") + voice_ids = {} + for role, ref_path in sorted(refs.items()): + wav = os.path.join(tmp, f"{role}_ref.wav") + convert_to_wav(ref_path, wav) + print(f" 注册音色: {role} ... ", end="", flush=True) + voice_ids[role] = register_voice(wav) + print(f"ok ({voice_ids[role][:10]}...)") + + ok = skip = fail = 0 + manifest_path = os.path.join(OUT_DIR, "clone_manifest.tsv") + manifest_lines = ["filename\trole\tref\tstyle\ttext\n"] + + for i, (fname, role, text) in enumerate(lines, 1): + out_v5 = os.path.join(OUT_DIR, f"{fname}_wav_v5.mp3") + out_game = os.path.join(DEPLOY_DIR, f"{fname}_wav_v1.mp3") + style = get_clone_style(fname, role, text) + ref_name = os.path.basename(refs[role]) + manifest_lines.append( + f"{fname}\t{role}\t{ref_name}\t{(style or '自然说话').replace(chr(9), ' ')}\t" + f"{text.replace(chr(9), ' ')}\n" + ) + + if os.path.exists(out_v5) and not args.force: + print(f" [{i:3d}/{len(lines)}] SKIP {fname}") + skip += 1 + continue + + if role not in voice_ids: + print(f" [{i:3d}/{len(lines)}] MISS {fname}") + fail += 1 + continue + + print(f" [{i:3d}/{len(lines)}] {fname} [{role}] ... ", end="", flush=True) + t0 = time.time() + try: + wav_bytes = synthesize_styled( + voice_ids[role], text, style, cfg=args.cfg, steps=args.steps + ) + raw_wav = os.path.join(tmp, f"{fname}_raw.wav") + spd_wav = os.path.join(tmp, f"{fname}_spd.wav") + with open(raw_wav, "wb") as f: + f.write(wav_bytes) + speed = ROLES.get(role, {}).get("speed", 1.0) + apply_speed(raw_wav, speed, spd_wav) + wav_to_mp3(spd_wav, out_v5) + if not args.no_deploy: + shutil.copy2(out_v5, out_game) + kb = os.path.getsize(out_v5) // 1024 + print(f"ok ({time.time() - t0:.1f}s, {kb}KB)") + ok += 1 + except Exception as e: + print(f"FAIL: {e}") + fail += 1 + + with open(manifest_path, "w", encoding="utf-8") as f: + f.writelines(manifest_lines) + + print(f"\n完成: {ok} ok, {skip} skip, {fail} fail") + print(f"输出: {OUT_DIR}") + print(f"清单: {manifest_path}") + if not args.no_deploy: + print(f"游戏目录: {DEPLOY_DIR}") + + +if __name__ == "__main__": + main() diff --git a/audio_2/tts/v4_voice_samples/README.md b/audio_2/tts/v4_voice_samples/README.md new file mode 100644 index 0000000..7cb1b88 --- /dev/null +++ b/audio_2/tts/v4_voice_samples/README.md @@ -0,0 +1,51 @@ +# Voice Design 试听样本（v4） + +每角色 **5 条**约 **7–10 秒**试听，用不同提示词生成不同音色。 +选定后注册为 `voice/{角色}/` 参考音频，再跑全量 Style Control 克隆。 + +## 试听目录 + +``` +audio_2/tts/v4_voice_samples/ + linxia/ linxia_v01.mp3 … v05.mp3 + mom/ + azhe/ + xiaomei/ + xiaomei_drunk/ + zhounan/ + hr/ + anan/ + dorm_a/ dorm_b/ dorm_c/ + delivery/ ← 5 条均为男声，语速已调慢 + self_3y/ +``` + +完整清单（含时长与提示词）：`samples_manifest.tsv` + +## 外卖小哥（delivery）变体说明 + +| 编号 | 侧重点 | +|------|--------| +| v01 | 北方男声，中低音，**语速适中偏慢**，礼貌直接 | +| v02 | 偏低沉稳，**语速慢**，熟手外卖员 | +| v03 | 普通青年男声，语速正常 | +| v04 | 略粗中音，语速适中，不催促 | +| v05 | 清爽青年音，**语速偏慢**，清楚有条理 | + +## 选定后告诉我 + +格式示例： + +``` +linxia v02, mom v01, azhe v03, delivery v02, ... +``` + +我会把对应 `.wav` 复制到 `voice/{角色}/`，再全量生成最终对白。 + +## 重新生成某角色样本 + +```bash +VOXCPM_PORT=8002 python audio_2/scripts/03_gen_voice_samples.py --role delivery --force +``` + +提示词配置：`audio_2/voice_sample_prompts.py` diff --git a/audio_2/tts/v4_voice_samples/anan/anan_v04.mp3 b/audio_2/tts/v4_voice_samples/anan/anan_v04.mp3 new file mode 100644 index 0000000..838f4f5 Binary files /dev/null and b/audio_2/tts/v4_voice_samples/anan/anan_v04.mp3 differ diff --git a/audio_2/tts/v4_voice_samples/anan/anan_v04.wav b/audio_2/tts/v4_voice_samples/anan/anan_v04.wav new file mode 100644 index 0000000..06271eb Binary files /dev/null and b/audio_2/tts/v4_voice_samples/anan/anan_v04.wav differ diff --git a/audio_2/tts/v4_voice_samples/azhe/azhe_v03.mp3 b/audio_2/tts/v4_voice_samples/azhe/azhe_v03.mp3 new file mode 100644 index 0000000..91b160c Binary files /dev/null and b/audio_2/tts/v4_voice_samples/azhe/azhe_v03.mp3 differ diff --git a/audio_2/tts/v4_voice_samples/azhe/azhe_v03.wav b/audio_2/tts/v4_voice_samples/azhe/azhe_v03.wav new file mode 100644 index 0000000..88060cf Binary files /dev/null and b/audio_2/tts/v4_voice_samples/azhe/azhe_v03.wav differ diff --git a/audio_2/tts/v4_voice_samples/delivery/delivery_v04.mp3 b/audio_2/tts/v4_voice_samples/delivery/delivery_v04.mp3 new file mode 100644 index 0000000..54620a6 Binary files /dev/null and b/audio_2/tts/v4_voice_samples/delivery/delivery_v04.mp3 differ diff --git a/audio_2/tts/v4_voice_samples/delivery/delivery_v04.wav b/audio_2/tts/v4_voice_samples/delivery/delivery_v04.wav new file mode 100644 index 0000000..6fbd0fa Binary files /dev/null and b/audio_2/tts/v4_voice_samples/delivery/delivery_v04.wav differ diff --git a/audio_2/tts/v4_voice_samples/dorm_a/dorm_a_v03.mp3 b/audio_2/tts/v4_voice_samples/dorm_a/dorm_a_v03.mp3 new file mode 100644 index 0000000..2181fdc Binary files /dev/null and b/audio_2/tts/v4_voice_samples/dorm_a/dorm_a_v03.mp3 differ diff --git a/audio_2/tts/v4_voice_samples/dorm_a/dorm_a_v03.wav b/audio_2/tts/v4_voice_samples/dorm_a/dorm_a_v03.wav new file mode 100644 index 0000000..e3c9020 Binary files /dev/null and b/audio_2/tts/v4_voice_samples/dorm_a/dorm_a_v03.wav differ diff --git a/audio_2/tts/v4_voice_samples/dorm_b/dorm_b_v02.mp3 b/audio_2/tts/v4_voice_samples/dorm_b/dorm_b_v02.mp3 new file mode 100644 index 0000000..47d858f Binary files /dev/null and b/audio_2/tts/v4_voice_samples/dorm_b/dorm_b_v02.mp3 differ diff --git a/audio_2/tts/v4_voice_samples/dorm_b/dorm_b_v02.wav b/audio_2/tts/v4_voice_samples/dorm_b/dorm_b_v02.wav new file mode 100644 index 0000000..38d08ce Binary files /dev/null and b/audio_2/tts/v4_voice_samples/dorm_b/dorm_b_v02.wav differ diff --git a/audio_2/tts/v4_voice_samples/dorm_c/dorm_c_v03.mp3 b/audio_2/tts/v4_voice_samples/dorm_c/dorm_c_v03.mp3 new file mode 100644 index 0000000..f5c0b43 Binary files /dev/null and b/audio_2/tts/v4_voice_samples/dorm_c/dorm_c_v03.mp3 differ diff --git a/audio_2/tts/v4_voice_samples/dorm_c/dorm_c_v03.wav b/audio_2/tts/v4_voice_samples/dorm_c/dorm_c_v03.wav new file mode 100644 index 0000000..533816c Binary files /dev/null and b/audio_2/tts/v4_voice_samples/dorm_c/dorm_c_v03.wav differ diff --git a/audio_2/tts/v4_voice_samples/hr/hr_v05.mp3 b/audio_2/tts/v4_voice_samples/hr/hr_v05.mp3 new file mode 100644 index 0000000..646c055 Binary files /dev/null and b/audio_2/tts/v4_voice_samples/hr/hr_v05.mp3 differ diff --git a/audio_2/tts/v4_voice_samples/hr/hr_v05.wav b/audio_2/tts/v4_voice_samples/hr/hr_v05.wav new file mode 100644 index 0000000..2833e76 Binary files /dev/null and b/audio_2/tts/v4_voice_samples/hr/hr_v05.wav differ diff --git a/audio_2/tts/v4_voice_samples/linxia/linxia_v05.mp3 b/audio_2/tts/v4_voice_samples/linxia/linxia_v05.mp3 new file mode 100644 index 0000000..94f7f88 Binary files /dev/null and b/audio_2/tts/v4_voice_samples/linxia/linxia_v05.mp3 differ diff --git a/audio_2/tts/v4_voice_samples/linxia/linxia_v05.wav b/audio_2/tts/v4_voice_samples/linxia/linxia_v05.wav new file mode 100644 index 0000000..11176ba Binary files /dev/null and b/audio_2/tts/v4_voice_samples/linxia/linxia_v05.wav differ diff --git a/audio_2/tts/v4_voice_samples/mom/mom_v01.mp3 b/audio_2/tts/v4_voice_samples/mom/mom_v01.mp3 new file mode 100644 index 0000000..8394d61 Binary files /dev/null and b/audio_2/tts/v4_voice_samples/mom/mom_v01.mp3 differ diff --git a/audio_2/tts/v4_voice_samples/mom/mom_v01.wav b/audio_2/tts/v4_voice_samples/mom/mom_v01.wav new file mode 100644 index 0000000..779d1ca Binary files /dev/null and b/audio_2/tts/v4_voice_samples/mom/mom_v01.wav differ diff --git a/audio_2/tts/v4_voice_samples/samples_manifest.tsv b/audio_2/tts/v4_voice_samples/samples_manifest.tsv new file mode 100644 index 0000000..8053a83 --- /dev/null +++ b/audio_2/tts/v4_voice_samples/samples_manifest.tsv @@ -0,0 +1,66 @@ +role variant seconds prompt text file +anan v01 7.4 23岁中国女性，甜亮高音女声，语速快，比闺蜜更嗲，像在酒吧里喊，背景略吵 夏夏！我在海伦斯呢！要不要过来，我请客！才两杯……好吧三杯，对面那个我给你留了位置，赶紧赶紧！ anan/anan_v01.mp3 +anan v02 9.2 22岁中国女性，尖亮女声，兴奋，像在Helens里喊朋友 夏夏！我在海伦斯呢！要不要过来，我请客！才两杯……好吧三杯，对面那个我给你留了位置，赶紧赶紧！ anan/anan_v02.mp3 +anan v03 10.1 24岁中国女性，偏高女声，带醉意，活泼，像夜场里发语音 夏夏！我在海伦斯呢！要不要过来，我请客！才两杯……好吧三杯，对面那个我给你留了位置，赶紧赶紧！ anan/anan_v03.mp3 +anan v04 7.6 23岁中国女性，甜腻高音，快语速，像撒娇式喊话 夏夏！我在海伦斯呢！要不要过来，我请客！才两杯……好吧三杯，对面那个我给你留了位置，赶紧赶紧！ anan/anan_v04.mp3 +anan v05 9.8 22岁中国女性，明亮女声，能量很高，像在嘈杂环境里说话 夏夏！我在海伦斯呢！要不要过来，我请客！才两杯……好吧三杯，对面那个我给你留了位置，赶紧赶紧！ anan/anan_v05.mp3 +azhe v01 8.1 27岁中国男性，清朗偏低男声，城市口音，理性偏冷，语速平稳，用词克制，略带距离感 夏夏，我明天要出差。那个充电盒好像落你那儿了，你方便的时候帮我寄一下，地址我等下发你。 azhe/azhe_v01.mp3 +azhe v02 7.6 28岁中国男性，中低音男声，冷静直接，不多废话，像同事发工作语音 夏夏，我明天要出差。那个充电盒好像落你那儿了，你方便的时候帮我寄一下，地址我等下发你。 azhe/azhe_v02.mp3 +azhe v03 7.6 26岁中国男性，偏薄男声，语速正常，礼貌但疏离，都市青年 夏夏，我明天要出差。那个充电盒好像落你那儿了，你方便的时候帮我寄一下，地址我等下发你。 azhe/azhe_v03.mp3 +azhe v04 6.9 29岁中国男性，低沉男中音，慢语速，克制，像鼓足勇气打电话 夏夏，我明天要出差。那个充电盒好像落你那儿了，你方便的时候帮我寄一下，地址我等下发你。 azhe/azhe_v04.mp3 +azhe v05 8.5 27岁中国男性，清爽男声，平稳，略带紧张，真诚但不油 夏夏，我明天要出差。那个充电盒好像落你那儿了，你方便的时候帮我寄一下，地址我等下发你。 azhe/azhe_v05.mp3 +delivery v01 7.9 30岁中国北方男性，男声，中低音，语速适中偏慢，北方口音，礼貌直接，像外卖小哥打电话 你好，您的麻辣烫到了，我现在在您楼下。方便的话我放门口，不方便您说一声，我马上上来。 delivery/delivery_v01.mp3 +delivery v02 8.5 32岁中国北方男性，男声，偏低沉稳，语速慢，普通话带北方味，熟手外卖员通知取餐 你好，您的麻辣烫到了，我现在在您楼下。方便的话我放门口，不方便您说一声，我马上上来。 delivery/delivery_v02.mp3 +delivery v03 7.1 28岁中国男性，男声，普通青年音，语速正常，清楚有条理，送餐到了打电话 你好，您的麻辣烫到了，我现在在您楼下。方便的话我放门口，不方便您说一声，我马上上来。 delivery/delivery_v03.mp3 +delivery v04 6.3 35岁中国北方男性，男声，略粗中音，语速适中，直接但不催，外卖电话 你好，您的麻辣烫到了，我现在在您楼下。方便的话我放门口，不方便您说一声，我马上上来。 delivery/delivery_v04.mp3 +delivery v05 7.6 30岁中国男性，男声，清爽青年音，语速偏慢，礼貌清楚，放门口前确认 你好，您的麻辣烫到了，我现在在您楼下。方便的话我放门口，不方便您说一声，我马上上来。 delivery/delivery_v05.mp3 +dorm_a v01 7.1 22岁中国女性，兴奋尖亮女声，语速很快，像群里报喜，充满喜悦 夏夏我告诉你个好消息！我升职了！说来话长，我们老板走了我就顶上了，哈哈太厉害了真的！ dorm_a/dorm_a_v01.mp3 +dorm_a v02 7.7 21岁中国女性，高音女声，极快语速，像刚得知好消息 夏夏我告诉你个好消息！我升职了！说来话长，我们老板走了我就顶上了，哈哈太厉害了真的！ dorm_a/dorm_a_v02.mp3 +dorm_a v03 7.4 23岁中国女性，明亮女声，兴奋，像室友群里连发 夏夏我告诉你个好消息！我升职了！说来话长，我们老板走了我就顶上了，哈哈太厉害了真的！ dorm_a/dorm_a_v03.mp3 +dorm_a v04 8.2 22岁中国女性，清脆女声，快，带笑，报喜语气 夏夏我告诉你个好消息！我升职了！说来话长，我们老板走了我就顶上了，哈哈太厉害了真的！ dorm_a/dorm_a_v04.mp3 +dorm_a v05 7.4 20岁中国女性，年轻尖声，语速很快，像大学生群聊 夏夏我告诉你个好消息！我升职了！说来话长，我们老板走了我就顶上了，哈哈太厉害了真的！ dorm_a/dorm_a_v05.mp3 +dorm_b v01 7.1 23岁中国女性，普通随和女声，中音，语速正常，像室友起哄 真的啊恭喜恭喜！太厉害了！你是不是有事啊？没事可以跟我们说，夏夏在忙吧也别硬撑。 dorm_b/dorm_b_v01.mp3 +dorm_b v02 5.5 22岁中国女性，平和女声，中等语速，像关心室友 真的啊恭喜恭喜！太厉害了！你是不是有事啊？没事可以跟我们说，夏夏在忙吧也别硬撑。 dorm_b/dorm_b_v02.mp3 +dorm_b v03 7.7 24岁中国女性，随和中音，正常语速，像群里接话 真的啊恭喜恭喜！太厉害了！你是不是有事啊？没事可以跟我们说，夏夏在忙吧也别硬撑。 dorm_b/dorm_b_v03.mp3 +dorm_b v04 10.6 23岁中国女性，略低女声，温和，像怕打扰又忍不住说 真的啊恭喜恭喜！太厉害了！你是不是有事啊？没事可以跟我们说，夏夏在忙吧也别硬撑。 dorm_b/dorm_b_v04.mp3 +dorm_b v05 9.3 22岁中国女性，普通青年女声，自然，像宿舍闲聊 真的啊恭喜恭喜！太厉害了！你是不是有事啊？没事可以跟我们说，夏夏在忙吧也别硬撑。 dorm_b/dorm_b_v05.mp3 +dorm_c v01 9.8 23岁中国女性，温柔低声女声，语速略慢，像注意到朋友沉默的室友 夏夏，你最近是不是有心事啊？我看你群里不怎么说话了。要是方便的话，可以跟我们聊聊，我们都在。 dorm_c/dorm_c_v01.mp3 +dorm_c v02 11.4 22岁中国女性，轻声女声，慢语速，体贴，像悄悄关心 夏夏，你最近是不是有心事啊？我看你群里不怎么说话了。要是方便的话，可以跟我们聊聊，我们都在。 dorm_c/dorm_c_v02.mp3 +dorm_c v03 8.2 24岁中国女性，温软中音，语速慢，像怕戳痛对方 夏夏，你最近是不是有心事啊？我看你群里不怎么说话了。要是方便的话，可以跟我们聊聊，我们都在。 dorm_c/dorm_c_v03.mp3 +dorm_c v04 9.6 23岁中国女性，低柔女声，轻声，像宿舍熄灯后说话 夏夏，你最近是不是有心事啊？我看你群里不怎么说话了。要是方便的话，可以跟我们聊聊，我们都在。 dorm_c/dorm_c_v04.mp3 +dorm_c v05 9.3 22岁中国女性，温柔女声，慢而稳，像递一杯水那样说话 夏夏，你最近是不是有心事啊？我看你群里不怎么说话了。要是方便的话，可以跟我们聊聊，我们都在。 dorm_c/dorm_c_v05.mp3 +hr v01 8.9 38岁中国女性，成熟职场女声，中音区，知性干练，疲惫的善意，像HR发工作语音 夏夏啊，离职流程你下周三之前办完哈，公积金那边记得跟进。辛苦啦，外面有合适的工作我帮你留意。 hr/hr_v01.mp3 +hr v02 11.7 40岁中国女性，沉稳职场女声，语速正常，专业但不冷漠 夏夏啊，离职流程你下周三之前办完哈，公积金那边记得跟进。辛苦啦，外面有合适的工作我帮你留意。 hr/hr_v02.mp3 +hr v03 10.3 36岁中国女性，温和职场女声，像前辈善意提醒 夏夏啊，离职流程你下周三之前办完哈，公积金那边记得跟进。辛苦啦，外面有合适的工作我帮你留意。 hr/hr_v03.mp3 +hr v04 8.7 38岁中国女性，中低音职场女声，干脆，像办完离职手续的叮嘱 夏夏啊，离职流程你下周三之前办完哈，公积金那边记得跟进。辛苦啦，外面有合适的工作我帮你留意。 hr/hr_v04.mp3 +hr v05 7.6 42岁中国女性，略哑成熟女声，阅历感，疲惫但真诚 夏夏啊，离职流程你下周三之前办完哈，公积金那边记得跟进。辛苦啦，外面有合适的工作我帮你留意。 hr/hr_v05.mp3 +linxia v01 9.8 24岁中国女性，中低音女声，声线偏薄，疲惫但清醒，克制有温度，普通话，像深夜发微信语音 你刚才发的那句话，我看了很久。其实我不是不想回你，我只是……不知道该怎么开口。 linxia/linxia_v01.mp3 +linxia v02 9.8 24岁中国女性，略带气声的中音，慢语速，柔软但有分寸，像刚下班躺床上回消息 你刚才发的那句话，我看了很久。其实我不是不想回你，我只是……不知道该怎么开口。 linxia/linxia_v02.mp3 +linxia v03 6.8 25岁中国女性，稳而轻的中音女声，有距离感但不冷，都市年轻人，普通话标准 你刚才发的那句话，我看了很久。其实我不是不想回你，我只是……不知道该怎么开口。 linxia/linxia_v03.mp3 +linxia v04 9.2 23岁中国女性，声线略低，清醒克制，字句短，像怕吵醒室友的轻声 你刚才发的那句话，我看了很久。其实我不是不想回你，我只是……不知道该怎么开口。 linxia/linxia_v04.mp3 +linxia v05 7.4 24岁中国女性，清朗中音，疲惫里藏一点温度，语速偏慢，像对自己说话 你刚才发的那句话，我看了很久。其实我不是不想回你，我只是……不知道该怎么开口。 linxia/linxia_v05.mp3 +mom v01 9.3 52岁中国女性，温厚中老年女声，音色略哑，轻微西部口音，说话慢而稳，像母亲打电话 女儿啊，妈妈今晚给你做了排骨。你在外面别总吃外卖，记得按时吃饭，累了就给家里打个电话。 mom/mom_v01.mp3 +mom v02 9.0 50岁中国女性，柔和中音，带一点鼻音，语速慢，温柔试探，像怕打扰女儿 女儿啊，妈妈今晚给你做了排骨。你在外面别总吃外卖，记得按时吃饭，累了就给家里打个电话。 mom/mom_v02.mp3 +mom v03 10.0 55岁中国女性，低沉温厚女声，轻微方言感，像回忆往事时说话 女儿啊，妈妈今晚给你做了排骨。你在外面别总吃外卖，记得按时吃饭，累了就给家里打个电话。 mom/mom_v03.mp3 +mom v04 8.4 48岁中国女性，清亮一点的中老年女声，关切但不啰嗦，母亲语气 女儿啊，妈妈今晚给你做了排骨。你在外面别总吃外卖，记得按时吃饭，累了就给家里打个电话。 mom/mom_v04.mp3 +mom v05 8.5 52岁中国女性，沙哑温声，情感克制，像深夜给女儿发长语音 女儿啊，妈妈今晚给你做了排骨。你在外面别总吃外卖，记得按时吃饭，累了就给家里打个电话。 mom/mom_v05.mp3 +self_3y v01 9.0 21岁中国女性，比林夏更亮更高的女声，刚来北京，兴奋带紧张，声音更年轻 刚来北京的时候，地铁里人挤人，我还紧张得不敢说话。但是看见国贸的灯，真的觉得一切都值得。 self_3y/self_3y_v01.mp3 +self_3y v02 7.7 20岁中国女性，明亮高音，年轻，带一点紧张，像初到北京 刚来北京的时候，地铁里人挤人，我还紧张得不敢说话。但是看见国贸的灯，真的觉得一切都值得。 self_3y/self_3y_v02.mp3 +self_3y v03 7.7 22岁中国女性，清亮女声，兴奋，像第一次看见大城市 刚来北京的时候，地铁里人挤人，我还紧张得不敢说话。但是看见国贸的灯，真的觉得一切都值得。 self_3y/self_3y_v03.mp3 +self_3y v04 8.9 21岁中国女性，偏高女声，语速快，紧张又期待，刚毕业 刚来北京的时候，地铁里人挤人，我还紧张得不敢说话。但是看见国贸的灯，真的觉得一切都值得。 self_3y/self_3y_v04.mp3 +self_3y v05 8.7 20岁中国女性，少女音，亮而轻，像给闺蜜发语音报喜 刚来北京的时候，地铁里人挤人，我还紧张得不敢说话。但是看见国贸的灯，真的觉得一切都值得。 self_3y/self_3y_v05.mp3 +xiaomei v01 7.1 24岁中国女性，明亮偏高的女声，语速快，活泼直接，像闺蜜连发语音，能量足 夏夏你怎么又不理我！我跟你说啊，今天公司发生一件超离谱的事，你必须得听，笑死我了真的！ xiaomei/xiaomei_v01.mp3 +xiaomei v02 7.4 23岁中国女性，甜亮高音，语速很快，兴奋，像群里@你 夏夏你怎么又不理我！我跟你说啊，今天公司发生一件超离谱的事，你必须得听，笑死我了真的！ xiaomei/xiaomei_v02.mp3 +xiaomei v03 6.9 25岁中国女性，明亮女声，语速中等偏快，直来直去，闺蜜语气 夏夏你怎么又不理我！我跟你说啊，今天公司发生一件超离谱的事，你必须得听，笑死我了真的！ xiaomei/xiaomei_v03.mp3 +xiaomei v04 9.2 24岁中国女性，偏高女声，带笑说话，活泼，像分享八卦 夏夏你怎么又不理我！我跟你说啊，今天公司发生一件超离谱的事，你必须得听，笑死我了真的！ xiaomei/xiaomei_v04.mp3 +xiaomei v05 6.8 22岁中国女性，清脆女声，快语速，热情，像连珠炮 夏夏你怎么又不理我！我跟你说啊，今天公司发生一件超离谱的事，你必须得听，笑死我了真的！ xiaomei/xiaomei_v05.mp3 +xiaomei_drunk v01 12.0 24岁中国女性，同闺蜜音色但喝醉了，口齿略含糊，情绪起伏大，时而哭时而笑 夏夏……我跟你说啊……今天我喝多了……你别嫌我烦，阿哲他……大三那年他还追过我呢…… xiaomei_drunk/xiaomei_drunk_v01.mp3 +xiaomei_drunk v02 8.5 24岁中国女性，醉态女声，黏糊，语速忽快忽慢，带哭腔 夏夏……我跟你说啊……今天我喝多了……你别嫌我烦，阿哲他……大三那年他还追过我呢…… xiaomei_drunk/xiaomei_drunk_v02.mp3 +xiaomei_drunk v03 6.3 25岁中国女性，喝醉的女声，舌头打结，情绪上来，委屈又笑 夏夏……我跟你说啊……今天我喝多了……你别嫌我烦，阿哲他……大三那年他还追过我呢…… xiaomei_drunk/xiaomei_drunk_v03.mp3 +xiaomei_drunk v04 9.3 23岁中国女性，微醺女声，含混，像深夜酒后的语音 夏夏……我跟你说啊……今天我喝多了……你别嫌我烦，阿哲他……大三那年他还追过我呢…… xiaomei_drunk/xiaomei_drunk_v04.mp3 +xiaomei_drunk v05 9.0 24岁中国女性，醉酒后女声，鼻音重，情绪不稳定，像倾诉秘密 夏夏……我跟你说啊……今天我喝多了……你别嫌我烦，阿哲他……大三那年他还追过我呢…… xiaomei_drunk/xiaomei_drunk_v05.mp3 +zhounan v01 9.0 26岁中国男性，温和偏闷的男中音，略拘谨，语速偏慢，像很久没联系的老同学，真诚不油 今年第一次来北京出差。来之前我想着要不要找你，找了很久，才在一个校友群里看到你。你现在怎么样？ zhounan/zhounan_v01.mp3 +zhounan v02 12.5 27岁中国男性，低沉男声，慢语速，略带怀旧，像回忆往事 今年第一次来北京出差。来之前我想着要不要找你，找了很久，才在一个校友群里看到你。你现在怎么样？ zhounan/zhounan_v02.mp3 +zhounan v03 8.4 25岁中国男性，普通青年男声，真诚，略紧张，老同学语气 今年第一次来北京出差。来之前我想着要不要找你，找了很久，才在一个校友群里看到你。你现在怎么样？ zhounan/zhounan_v03.mp3 +zhounan v04 14.4 28岁中国男性，温厚男中音，语速慢，像生日夜独自说话 今年第一次来北京出差。来之前我想着要不要找你，找了很久，才在一个校友群里看到你。你现在怎么样？ zhounan/zhounan_v04.mp3 +zhounan v05 7.9 26岁中国男性，清爽男声，克制，小心翼翼，不想打扰对方 今年第一次来北京出差。来之前我想着要不要找你，找了很久，才在一个校友群里看到你。你现在怎么样？ zhounan/zhounan_v05.mp3 diff --git a/audio_2/tts/v4_voice_samples/self_3y/self_3y_v03.mp3 b/audio_2/tts/v4_voice_samples/self_3y/self_3y_v03.mp3 new file mode 100644 index 0000000..c333a74 Binary files /dev/null and b/audio_2/tts/v4_voice_samples/self_3y/self_3y_v03.mp3 differ diff --git a/audio_2/tts/v4_voice_samples/self_3y/self_3y_v03.wav b/audio_2/tts/v4_voice_samples/self_3y/self_3y_v03.wav new file mode 100644 index 0000000..3b08a8a Binary files /dev/null and b/audio_2/tts/v4_voice_samples/self_3y/self_3y_v03.wav differ diff --git a/audio_2/tts/v4_voice_samples/xiaomei/xiaomei_v05.mp3 b/audio_2/tts/v4_voice_samples/xiaomei/xiaomei_v05.mp3 new file mode 100644 index 0000000..a86afe2 Binary files /dev/null and b/audio_2/tts/v4_voice_samples/xiaomei/xiaomei_v05.mp3 differ diff --git a/audio_2/tts/v4_voice_samples/xiaomei/xiaomei_v05.wav b/audio_2/tts/v4_voice_samples/xiaomei/xiaomei_v05.wav new file mode 100644 index 0000000..7dd7f70 Binary files /dev/null and b/audio_2/tts/v4_voice_samples/xiaomei/xiaomei_v05.wav differ diff --git a/audio_2/tts/v4_voice_samples/xiaomei_drunk/xiaomei_drunk_v05.mp3 b/audio_2/tts/v4_voice_samples/xiaomei_drunk/xiaomei_drunk_v05.mp3 new file mode 100644 index 0000000..a7a609c Binary files /dev/null and b/audio_2/tts/v4_voice_samples/xiaomei_drunk/xiaomei_drunk_v05.mp3 differ diff --git a/audio_2/tts/v4_voice_samples/xiaomei_drunk/xiaomei_drunk_v05.wav b/audio_2/tts/v4_voice_samples/xiaomei_drunk/xiaomei_drunk_v05.wav new file mode 100644 index 0000000..9e14fd3 Binary files /dev/null and b/audio_2/tts/v4_voice_samples/xiaomei_drunk/xiaomei_drunk_v05.wav differ diff --git a/audio_2/tts/v4_voice_samples/zhounan/zhounan_v05.mp3 b/audio_2/tts/v4_voice_samples/zhounan/zhounan_v05.mp3 new file mode 100644 index 0000000..5abdf9a Binary files /dev/null and b/audio_2/tts/v4_voice_samples/zhounan/zhounan_v05.mp3 differ diff --git a/audio_2/tts/v4_voice_samples/zhounan/zhounan_v05.wav b/audio_2/tts/v4_voice_samples/zhounan/zhounan_v05.wav new file mode 100644 index 0000000..e7ccac0 Binary files /dev/null and b/audio_2/tts/v4_voice_samples/zhounan/zhounan_v05.wav differ diff --git a/audio_2/tts/v5_cloned/clone_manifest.tsv b/audio_2/tts/v5_cloned/clone_manifest.tsv new file mode 100644 index 0000000..01df2d7 --- /dev/null +++ b/audio_2/tts/v5_cloned/clone_manifest.tsv @@ -0,0 +1,178 @@ +filename role ref style text +lv11_2103_mom_call_01 mom mom_v01.wav 自然说话 今晚煮了你爱吃的排骨，给你拍张照啊。下周五回来一趟，你高中物理老师的儿子，挺好的。 +lv11_2115_xiaomei_voice_01 xiaomei xiaomei_v05.wav 自然说话 在吗 +lv11_2115_xiaomei_voice_02 xiaomei xiaomei_v05.wav 自然说话 你被甩了我都听说了 +lv11_2115_xiaomei_voice_03 xiaomei xiaomei_v05.wav 自然说话 明天晚上喝酒，海底捞旁边那家，不许放鸽子 +lv11_2120_delivery_call_01 delivery delivery_v04.wav 自然说话 你好你的麻辣烫到了，放门口可以吗？ +lv11_2130_azhe_voice_01 azhe azhe_v03.wav 自然说话 嗯……夏夏。我那个AirPods充电盒，好像落你抽屉里了。你方便的时候帮我寄一下吗，工位还要用。地址我等下发你。 +lv11_2145_hr_voice_01 hr hr_v05.wav 自然说话 夏夏啊，离职流程你下周三之前办完哈，公积金那边记得跟进。辛苦啦，外面有合适的工作我帮你留意。 +lv11_2200_anan_voice_01 anan anan_v04.wav 自然说话 夏夏！我在helens！要不要过来！我请客！ +lv11_2215_dorm_a_voice_01 dorm_a dorm_a_v03.wav 自然说话 哎你们看，我今天升职了！ +lv11_2215_dorm_b_voice_01 dorm_b dorm_b_v02.wav 自然说话 真的啊！恭喜恭喜！太厉害了！ +lv11_2215_dorm_c_voice_01 dorm_c dorm_c_v03.wav 自然说话 厉害！那要请客啊！ +lv11_2215_dorm_a_voice_02 dorm_a dorm_a_v03.wav 自然说话 哈哈哈必须的！夏夏你怎么不说话呀 +lv11_2215_dorm_b_voice_02 dorm_b dorm_b_v02.wav 自然说话 夏夏在忙吧，别打扰她了 +lv11_2245_xiaomei_voice_01_seg1 xiaomei_drunk xiaomei_drunk_v05.wav 醉态开场，黏糊 夏夏夏夏夏。你睡了吗？我跟你说，我跟你说啊……今天我喝多了…… +lv11_2245_xiaomei_voice_01_seg2 xiaomei_drunk xiaomei_drunk_v05.wav 醉态爆料，情绪上来 你别嫌我烦哈，我跟你说……其实啊……阿哲他，大三那年，他来追过我。我没答应他。我那时候就觉得他这人，呵，差点意思。 +lv11_2245_xiaomei_voice_01_seg3 xiaomei_drunk xiaomei_drunk_v05.wav 醉态解释，委屈 你跟他在一起的时候，我没说，因为说了也没意义嘛对吧。现在他甩了你，我才敢说。 +lv11_2245_xiaomei_voice_01_seg4 xiaomei_drunk xiaomei_drunk_v05.wav 醉态收尾，失落 夏夏，你听到了吗？你别恨我啊。……喂？算了。 +lv11_2300_mom_text_01 mom mom_v01.wav 自然说话 睡了吗？ +lv11_2315_azhe_call_01 azhe azhe_v03.wav 电话里略紧张，像鼓足勇气 我能过去拿吗？就5分钟 +lv11_2330_zhounan_voice_01 zhounan zhounan_v05.wav 自然说话 林夏，是我，周南。你应该不记得我了吧，初三坐你后桌那个 +lv11_2345_zhounan_voice_01 zhounan zhounan_v05.wav 自然说话 其实我一直想找机会跟你说声谢谢。初三那年你借我笔记，那次考试我才没挂科。 +lv11_2345_zhounan_voice_02 zhounan zhounan_v05.wav 自然说话 后来高考，我没考好。复读了一年，去了一个二本。然后就回老家了，没什么好说的。 +lv11_2345_zhounan_voice_03 zhounan zhounan_v05.wav 自然说话 今年第一次来北京出差。来之前我想着，要不要找你。找了很久，才在一个校友群里看到你。你现在过得怎么样？ +lv11_2345_zhounan_voice_04 zhounan zhounan_v05.wav 自然说话 今天我生日。本来就想跟你说一声，对不起这么晚。 +lv11_0015_mom_call_01 mom mom_v01.wav 担心女儿，语气轻但着急 夏夏，你不接电话我有点担心。妈妈知道你工作忙，你早点睡。 +lv11_0200_mom_voice_01_seg1 mom mom_v01.wav 温柔试探，像怕打扰女儿 夏夏。妈妈知道你今天电话不接。妈妈不催你，就是想跟你说一件事。 +lv11_0200_mom_voice_01_seg2 mom mom_v01.wav 平静追忆 你24了对吧。妈妈24那年——你应该没听我说过—— +lv11_0200_mom_voice_01_seg3 mom mom_v01.wav 克制回忆痛苦 那时候妈妈在广州，给一个香港老板做秘书，1995年。那年我也被分手过。也被开除过。一模一样的春天。 +lv11_0200_mom_voice_01_seg4 mom mom_v01.wav 释然 那年我哭得特别难看。后来呢？后来就没什么后来了。我回了老家，认识了你爸，生了你。 +lv11_0200_mom_voice_01_seg5 mom mom_v01.wav 深沉情感，声音更轻 我跟你说这个不是想跟你说什么都会过去——我想跟你说，那年夏天我没死，是因为我外婆每天晚上都给我打一个电话。 +lv11_0200_mom_voice_01_seg6 mom mom_v01.wav 极简温柔 她不说什么，就问我今天吃饭了没。 +lv11_0200_mom_voice_01_seg7 mom mom_v01.wav 不要求回应的 tender 我现在打给你，你不接也没事。妈妈给你发个语音，你什么时候想听就听。你不用回我。 +lv11_0200_mom_voice_01_seg8 mom mom_v01.wav 几乎微笑的晚安 你今天接了好多电话吧。妈妈不打扰你了。晚安。 +v2_msg01_linxia_auto linxia linxia_v05.wav 疲惫克制，轻声 嗯……好。 +v2_msg02_linxia_warm linxia linxia_v05.wav 语气温暖开放，柔软但有分寸 好啊，明天不见不散。 +v2_msg02_linxia_cold linxia linxia_v05.wav 语气冷淡疏离，短促 再说吧。 +v2_msg02_linxia_curious linxia linxia_v05.wav 语气好奇，略带追问 你怎么知道的啊？ +v2_msg02_linxia_tap linxia linxia_v05.wav 极简回应，中性敷衍 嗯。 +v2_msg02_react_warm xiaomei xiaomei_v05.wav 语气更温暖积极 行！那我叫上安安！老地方见！别放鸽子啊！ +v2_msg02_react_cold xiaomei xiaomei_v05.wav 语气更冷淡 ……好吧。你要是改主意了随时说。 +v2_msg02_react_curious xiaomei xiaomei_v05.wav 语气好奇，略追问 还不是阿哲自己发朋友圈！你不知道吗？他发了又秒删…… +v2_msg02_react_silent xiaomei xiaomei_v05.wav 语气犹豫，像等对方回应 ？？你还活着吗哈哈。好了不烦你了，有事找我。 +v2_msg02_react_tap xiaomei xiaomei_v05.wav 自然说话 嗯是什么意思啊哈哈！行吧你休息。 +v2_msg02_r3_linxia_curious linxia linxia_v05.wav 语气好奇，略带追问 他……发了什么？ +v2_msg02_r3_react xiaomei xiaomei_v05.wav 自然说话 就发了一张你们以前的照片，配了一句'值得'。两分钟就删了。 +v2_msg03_linxia_auto linxia linxia_v05.wav 疲惫克制，轻声 好，我下来拿。 +v2_msg04_linxia_warm linxia linxia_v05.wav 语气温暖开放，柔软但有分寸 你那边……还好吗。 +v2_msg04_linxia_cold linxia linxia_v05.wav 语气冷淡疏离，短促 知道了。明天寄。 +v2_msg04_linxia_curious linxia linxia_v05.wav 语气好奇，略带追问 你怎么不自己来拿。 +v2_msg04_linxia_tap linxia linxia_v05.wav 极简回应，中性敷衍 好。 +v2_msg04_react_warm azhe azhe_v03.wav 语气更温暖积极 我……挺好的。你呢？ +v2_msg04_react_cold azhe azhe_v03.wav 语气更冷淡 嗯……谢了。 +v2_msg04_react_curious azhe azhe_v03.wav 语气好奇，略追问 我……不太方便过去。 +v2_msg04_react_silent azhe azhe_v03.wav 语气犹豫，像等对方回应 那……我晚点再说吧。 +v2_msg04_react_tap azhe azhe_v03.wav 自然说话 谢谢。 +v2_msg04_r3w_linxia_warm linxia linxia_v05.wav 语气温暖开放，柔软但有分寸 不太好。 +v2_msg04_r3w_linxia_cold linxia linxia_v05.wav 语气冷淡疏离，短促 挺好的。 +v2_msg04_r3w_react_warm azhe azhe_v03.wav 语气更温暖积极 ……对不起。 +v2_msg04_r3w_react_cold azhe azhe_v03.wav 语气更冷淡 那就好。 +v2_msg04_r3w_react_silent azhe azhe_v03.wav 语气犹豫，像等对方回应 ……那，晚安。 +v2_msg04_r3c_linxia_curious linxia linxia_v05.wav 语气好奇，略带追问 为什么。 +v2_msg04_r3c_linxia_warm linxia linxia_v05.wav 语气温暖开放，柔软但有分寸 算了，不问了。 +v2_msg04_r3c_react_curious azhe azhe_v03.wav 语气好奇，略追问 我……没什么。你寄吧。 +v2_msg05_linxia_warm linxia linxia_v05.wav 语气温暖开放，柔软但有分寸 谢谢王姐。 +v2_msg05_linxia_cold linxia linxia_v05.wav 语气冷淡疏离，短促 好的，知道了。 +v2_msg05_linxia_curious linxia linxia_v05.wav 语气好奇，略带追问 王姐……有什么建议吗？ +v2_msg05_linxia_tap linxia linxia_v05.wav 极简回应，中性敷衍 好。 +v2_msg05_react_warm hr hr_v05.wav 语气更温暖积极 别客气。你还年轻，出去看看也好。这行业你知道的。 +v2_msg05_react_curious hr hr_v05.wav 语气好奇，略追问 你想听真话？别在这行耗了。你有本事，去试试别的。 +v2_msg06_linxia_warm linxia linxia_v05.wav 语气温暖开放，柔软但有分寸 在哪儿啊？我看看吧。 +v2_msg06_linxia_cold linxia linxia_v05.wav 语气冷淡疏离，短促 不了，你们玩好。 +v2_msg06_linxia_curious linxia linxia_v05.wav 语气好奇，略带追问 你喝了多少了？ +v2_msg06_linxia_tap linxia linxia_v05.wav 极简回应，中性敷衍 嗯。 +v2_msg06_react_warm anan anan_v04.wav 语气更温暖积极 对面那个！我给你留了位置！赶紧赶紧！ +v2_msg06_react_cold anan anan_v04.wav 语气更冷淡 好吧！那我给你寄一杯！ +v2_msg06_react_curious anan anan_v04.wav 语气好奇，略追问 才两杯！我清醒得很！……好吧三杯。快来！ +v2_msg06_react_silent anan anan_v04.wav 语气犹豫，像等对方回应 喂？信号不好吗？好吧以后再约！ +v2_msg06_react_tap anan anan_v04.wav 自然说话 嗯是来还是不来啊！算了回头聊！ +v2_msg07_linxia_warm linxia linxia_v05.wav 语气温暖开放，柔软但有分寸 恭喜恭喜！太厉害了！ +v2_msg07_linxia_cold linxia linxia_v05.wav 语气冷淡疏离，短促 恭喜。 +v2_msg07_linxia_curious linxia linxia_v05.wav 语气好奇，略带追问 怎么升的啊？讲讲！ +v2_msg07_react_warm dorm_a dorm_a_v03.wav 语气更温暖积极 哈哈谢谢！我请客！你最近怎么样啊？ +v2_msg07_react_curious dorm_a dorm_a_v03.wav 语气好奇，略追问 说来话长！我们老板走了我就顶上了哈哈 +v2_msg07_react_tap dorm_b dorm_b_v02.wav 自然说话 林夏发表情了哈哈 +v2_msg07_r3_linxia_warm linxia linxia_v05.wav 语气温暖开放，柔软但有分寸 挺好的～你请客我去！ +v2_msg07_r3_linxia_cold linxia linxia_v05.wav 语气冷淡疏离，短促 还行。 +v2_msg07_r3_react_cold dorm_b dorm_b_v02.wav 语气更冷淡 你是不是有事啊？没事可以跟我们说 +v2_msg09_linxia_warm linxia linxia_v05.wav 语气温暖开放，柔软但有分寸 小美……你没事吧。 +v2_msg09_linxia_cold linxia linxia_v05.wav 语气冷淡疏离，短促 我知道了。 +v2_msg09_linxia_curious linxia linxia_v05.wav 语气好奇，略带追问 你……为什么现在才说。 +v2_msg09_linxia_tap linxia linxia_v05.wav 极简回应，中性敷衍 嗯。 +v2_msg09_react_warm xiaomei_drunk xiaomei_drunk_v05.wav 语气更温暖积极 我没事……我就是喝多了想告诉你……你别怪我。 +v2_msg09_react_curious xiaomei_drunk xiaomei_drunk_v05.wav 语气好奇，略追问 因为你今天……我怕你以后恨我…… +v2_msg09_react_tap xiaomei_drunk xiaomei_drunk_v05.wav 自然说话 你不生气吗？算了……当我没说。 +v2_msg09_r3_linxia_warm linxia linxia_v05.wav 语气温暖开放，柔软但有分寸 我不恨你。 +v2_msg09_r3_linxia_cold linxia linxia_v05.wav 语气冷淡疏离，短促 我得想想。 +v2_msg09_r3_react_warm xiaomei_drunk xiaomei_drunk_v05.wav 语气更温暖积极 谢谢你……谢谢你林夏。 +v2_msg09_r3_react_cold xiaomei_drunk xiaomei_drunk_v05.wav 语气更冷淡 好……对不起。 +v2_msg09_r3_react_silent_q xiaomei_drunk xiaomei_drunk_v05.wav 语气犹豫，像等对方回应 你还在吗？ +v2_msg10_linxia_warm linxia linxia_v05.wav 语气温暖开放，柔软但有分寸 没有，怎么了？ +v2_msg10_linxia_cold linxia linxia_v05.wav 语气冷淡疏离，短促 嗯，要睡了。 +v2_msg10_linxia_curious linxia linxia_v05.wav 语气好奇，略带追问 妈……你能打电话给我吗？ +v2_msg10_linxia_tap linxia linxia_v05.wav 极简回应，中性敷衍 嗯。 +v2_msg10_react_warm mom mom_v01.wav 语气更温暖积极 没事，就是想起来问一下。今天怎么样？ +v2_msg10_react_cold mom mom_v01.wav 语气更冷淡 好，早点睡。 +v2_msg10_react_silent mom mom_v01.wav 语气犹豫，像等对方回应 看到了回一下。 +v2_msg10_react_tap mom mom_v01.wav 自然说话 嗯就是睡了？晚安。 +v2_msg10_call_mom mom mom_v01.wav 电话里听到女儿声音不对，担心但克制 怎么了夏夏？你声音不对。 +v2_msg10_call_linxia_warm linxia linxia_v05.wav 语气温暖开放，柔软但有分寸 没什么……就是有点累。 +v2_msg10_call_linxia_curious linxia linxia_v05.wav 语气好奇，略带追问 妈，我辞职了。 +v2_msg10_call_react_warm mom mom_v01.wav 语气更温暖积极 累了就回家歇几天。妈煮了排骨。 +v2_msg10_call_react_curious mom mom_v01.wav 语气好奇，略追问 辞了就辞了。回来再说。 +v2_msg10_call_react_silent mom mom_v01.wav 语气犹豫，像等对方回应 不想说就不说。妈在这呢。 +v2_msg10_rw_linxia_warm linxia linxia_v05.wav 语气温暖开放，柔软但有分寸 还好。 +v2_msg10_rw_linxia_curious linxia linxia_v05.wav 语气好奇，略带追问 不太好。 +v2_msg10_rw_react_warm mom mom_v01.wav 语气更温暖积极 那就好。别太晚了。 +v2_msg10_rw_react_curious mom mom_v01.wav 语气好奇，略追问 怎么了？ +v2_msg11_linxia_warm linxia linxia_v05.wav 语气温暖开放，柔软但有分寸 可以。但只有5分钟。 +v2_msg11_linxia_cold linxia linxia_v05.wav 语气冷淡疏离，短促 不方便。我明天寄给你。 +v2_msg11_linxia_curious linxia linxia_v05.wav 语气好奇，略带追问 为什么非要今天来？ +v2_msg11_linxia_tap linxia linxia_v05.wav 极简回应，中性敷衍 不了。 +v2_msg11_react_warm azhe azhe_v03.wav 语气更温暖积极 好，我马上过来。谢谢。 +v2_msg11_react_cold azhe azhe_v03.wav 语气更冷淡 好吧……那谢了。 +v2_msg11_react_curious azhe azhe_v03.wav 语气好奇，略追问 我……明天要出差。就5分钟。 +v2_msg11_react_tap azhe azhe_v03.wav 电话里略紧张，像鼓足勇气 好。 +v2_msg12_linxia_warm linxia linxia_v05.wav 语气温暖开放，柔软但有分寸 周南！你还记得我啊！ +v2_msg12_linxia_cold linxia linxia_v05.wav 语气冷淡疏离，短促 嗯，你好。 +v2_msg12_linxia_curious linxia linxia_v05.wav 语气好奇，略带追问 你怎么有我微信的？ +v2_msg12_linxia_tap linxia linxia_v05.wav 极简回应，中性敷衍 嗯……好久不见。 +v2_msg12_react_warm zhounan zhounan_v05.wav 语气更温暖积极 当然记得。你是我们班最安静的那个。 +v2_msg12_react_cold zhounan zhounan_v05.wav 语气更冷淡 嗯……好久不见。你现在在哪呢？ +v2_msg12_react_curious zhounan zhounan_v05.wav 语气好奇，略追问 你忘了吗？毕业那天你加的我。不过你可能早忘了哈哈。 +v2_msg12_react_silent zhounan zhounan_v05.wav 语气犹豫，像等对方回应 你是不是不记得我了？没关系的。就是突然想说声嗨。 +v2_msg12_react_tap zhounan zhounan_v05.wav 自然说话 是啊，好久不见。 +v2_msg13_linxia_warm linxia linxia_v05.wav 语气温暖开放，柔软但有分寸 一个人在北京，还好吗？ +v2_msg13_linxia_cold linxia linxia_v05.wav 语气冷淡疏离，短促 你讲了好多。 +v2_msg13_linxia_curious linxia linxia_v05.wav 语气好奇，略带追问 ……生日快乐。 +v2_msg13_linxia_tap linxia linxia_v05.wav 极简回应，中性敷衍 嗯，我都听到了。 +v2_msg13_react_warm zhounan zhounan_v05.wav 语气更温暖积极 还行吧。习惯了。你呢？你在北京过得好吗？ +v2_msg13_react_cold zhounan zhounan_v05.wav 语气更冷淡 是吗？不好意思，话太多了。 +v2_msg13_react_curious zhounan zhounan_v05.wav 语气好奇，略追问 谢谢你。你是今天第一个跟我说的。 +v2_msg13_react_silent zhounan zhounan_v05.wav 语气犹豫，像等对方回应 不好意思突然说这么多……那，晚安。 +v2_msg13_react_tap zhounan zhounan_v05.wav 自然说话 嗯。谢谢你听我说。 +v2_msg13_r3_linxia_warm linxia linxia_v05.wav 语气温暖开放，柔软但有分寸 不太好。今天也是我的坏日子。 +v2_msg13_r3_linxia_cold linxia linxia_v05.wav 语气冷淡疏离，短促 还行吧。 +v2_msg13_r3_linxia_curious linxia linxia_v05.wav 语气好奇，略带追问 你为什么突然联系我？ +v2_msg13_r3_react_warm zhounan zhounan_v05.wav 语气更温暖积极 那我们算是难兄难妹了。 +v2_msg13_r3_react_cold zhounan zhounan_v05.wav 语气更冷淡 那就好。 +v2_msg13_r3_react_curious zhounan zhounan_v05.wav 语气好奇，略追问 因为……今天生日嘛，想起以前的事。想起你。 +v2_msg14_linxia_auto linxia linxia_v05.wav 疲惫克制，轻声 嗯，我没事。 +v2_msg14_mom_ask mom mom_v01.wav 自然说话 真的没事？ +v2_msg14_react_linked mom mom_v01.wav 自然说话 好。那早点睡。妈爱你。 +v2_msg14_react_unlinked mom mom_v01.wav 自然说话 你今天怎么都不理妈妈？出什么事了吗？ +v2_ending_e_zhounan zhounan zhounan_v05.wav 轻快一点，像看到希望 那我下次出差来北京，请你吃饭好不好。 +v2_linxia_generic_hmm linxia linxia_v05.wav 自然说话 嗯。 +v2_linxia_generic_ok linxia linxia_v05.wav 自然说话 好。 +v2_linxia_generic_warm_ok linxia linxia_v05.wav 语气温暖开放，柔软但有分寸 嗯～好啊。 +v2_linxia_generic_cold_know linxia linxia_v05.wav 语气冷淡疏离，短促 知道了。 +v2_linxia_generic_cold_fine linxia linxia_v05.wav 语气冷淡疏离，短促 行吧。 +v2_linxia_generic_curious linxia linxia_v05.wav 语气好奇，略带追问 嗯？ +v2_linxia_generic_then linxia linxia_v05.wav 自然说话 然后呢？ +v2_ending_a_linxia linxia linxia_v05.wav 结局独白，轻声自语 明天再说。 +v2_ending_b_linxia linxia linxia_v05.wav 结局独白，轻声自语 寄出去了。 +v2_ending_c_linxia linxia linxia_v05.wav 结局独白，轻声自语 今晚就这样。 +v2_ending_d_linxia linxia linxia_v05.wav 结局独白，轻声自语 早上好。 +v2_ending_e_linxia linxia linxia_v05.wav 结局独白，轻声自语 好。 +v2_sys_wait_reply linxia linxia_v05.wav 平静清晰，像对自己说话 等待回复。 +v2_sys_paused linxia linxia_v05.wav 平静清晰，像对自己说话 游戏已暂停。单击继续，三指点击退出。 +v2_sys_content_warning linxia linxia_v05.wav 平静清晰，像对自己说话 本游戏涉及孤独、家庭关系等情感话题，请在舒适的状态下体验。 +v2_sys_hotline linxia linxia_v05.wav 平静清晰，像对自己说话 如需倾诉，全国心理援助热线，400-161-9995。 +v2_msg10_rw_react_silent mom mom_v01.wav 语气犹豫，像等对方回应 那早点睡啊。 +v2_msg10_call_react_down mom mom_v01.wav 电话里听到女儿声音不对，担心但克制 没事就好。早点睡。 +v2_msg11_r3_react_silent azhe azhe_v03.wav 语气犹豫，像等对方回应 行吧，那我不来了。 +lv11_0030_self3y_voice_01 self_3y self_3y_v03.wav 兴奋带紧张，像刚来北京 哦对，今天是我来北京的第一百天。妈，我没跟你说，我自己数的。这个城市好大。我走了很多路，见了很多人。我觉得我还没准备好，但我又觉得好像准备了很久很久了。你们不用担心我。我很好。以后的我，如果你听到这条，记得要好好的。 +lv11_0030_self3y_voice_02 self_3y self_3y_v03.wav 疲惫但假装坚强 我今天又没睡好。不是失眠，就是睡不踏实。北京这个地方，它会让你觉得你随时都要更好，随时都要更努力。我在努力。但我不知道在努力什么。我就想留下一条记录。今天，今天是……算了，就今天吧。 +lv11_0030_self3y_voice_03 self_3y self_3y_v03.wav 平静有力，像对未来的自己说话 是我。23岁的我。我设了三年后打开。我不知道那时候的你怎么样了。如果你很好，就当我多虑了。如果你不好——你看，你熬过来了对不对。你23岁的时候，也觉得很难。但你还是过来了。所以……撑住啊。 +lv11_sys_memo_01 linxia linxia_v05.wav 平静清晰，像对自己说话 三年前今天，一条未听的录音 diff --git a/audio_2/tts/v5_cloned/lv11_0015_mom_call_01_wav_v5.mp3 b/audio_2/tts/v5_cloned/lv11_0015_mom_call_01_wav_v5.mp3 new file mode 100644 index 0000000..b2d9a8a Binary files /dev/null and b/audio_2/tts/v5_cloned/lv11_0015_mom_call_01_wav_v5.mp3 differ diff --git a/audio_2/tts/v5_cloned/lv11_0030_self3y_voice_01_wav_v5.mp3 b/audio_2/tts/v5_cloned/lv11_0030_self3y_voice_01_wav_v5.mp3 new file mode 100644 index 0000000..2aeefad Binary files /dev/null and b/audio_2/tts/v5_cloned/lv11_0030_self3y_voice_01_wav_v5.mp3 differ diff --git a/audio_2/tts/v5_cloned/lv11_0030_self3y_voice_02_wav_v5.mp3 b/audio_2/tts/v5_cloned/lv11_0030_self3y_voice_02_wav_v5.mp3 new file mode 100644 index 0000000..dc84f5d Binary files /dev/null and b/audio_2/tts/v5_cloned/lv11_0030_self3y_voice_02_wav_v5.mp3 differ diff --git a/audio_2/tts/v5_cloned/lv11_0030_self3y_voice_03_wav_v5.mp3 b/audio_2/tts/v5_cloned/lv11_0030_self3y_voice_03_wav_v5.mp3 new file mode 100644 index 0000000..73ebcb3 Binary files /dev/null and b/audio_2/tts/v5_cloned/lv11_0030_self3y_voice_03_wav_v5.mp3 differ diff --git a/audio_2/tts/v5_cloned/lv11_0200_mom_voice_01_seg1_wav_v5.mp3 b/audio_2/tts/v5_cloned/lv11_0200_mom_voice_01_seg1_wav_v5.mp3 new file mode 100644 index 0000000..0d2cfdf Binary files /dev/null and b/audio_2/tts/v5_cloned/lv11_0200_mom_voice_01_seg1_wav_v5.mp3 differ diff --git a/audio_2/tts/v5_cloned/lv11_0200_mom_voice_01_seg2_wav_v5.mp3 b/audio_2/tts/v5_cloned/lv11_0200_mom_voice_01_seg2_wav_v5.mp3 new file mode 100644 index 0000000..5a0f56a Binary files /dev/null and b/audio_2/tts/v5_cloned/lv11_0200_mom_voice_01_seg2_wav_v5.mp3 differ diff --git a/audio_2/tts/v5_cloned/lv11_0200_mom_voice_01_seg3_wav_v5.mp3 b/audio_2/tts/v5_cloned/lv11_0200_mom_voice_01_seg3_wav_v5.mp3 new file mode 100644 index 0000000..2a1550c 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"你在外面别总吃外卖，记得按时吃饭，累了就给家里打个电话。" + ), + "azhe": ( + "夏夏，我明天要出差。" + "那个充电盒好像落你那儿了，你方便的时候帮我寄一下，地址我等下发你。" + ), + "xiaomei": ( + "夏夏你怎么又不理我！我跟你说啊，今天公司发生一件超离谱的事，" + "你必须得听，笑死我了真的！" + ), + "xiaomei_drunk": ( + "夏夏……我跟你说啊……今天我喝多了……" + "你别嫌我烦，阿哲他……大三那年他还追过我呢……" + ), + "zhounan": ( + "今年第一次来北京出差。来之前我想着要不要找你，" + "找了很久，才在一个校友群里看到你。你现在怎么样？" + ), + "hr": ( + "夏夏啊，离职流程你下周三之前办完哈，公积金那边记得跟进。" + "辛苦啦，外面有合适的工作我帮你留意。" + ), + "anan": ( + "夏夏！我在海伦斯呢！要不要过来，我请客！" + "才两杯……好吧三杯，对面那个我给你留了位置，赶紧赶紧！" + ), + "dorm_a": ( + "夏夏我告诉你个好消息！我升职了！说来话长，" + "我们老板走了我就顶上了，哈哈太厉害了真的！" + ), + "dorm_b": ( + "真的啊恭喜恭喜！太厉害了！" + "你是不是有事啊？没事可以跟我们说，夏夏在忙吧也别硬撑。" + ), + "dorm_c": ( + "夏夏，你最近是不是有心事啊？我看你群里不怎么说话了。" + "要是方便的话，可以跟我们聊聊，我们都在。" + ), + "delivery": ( + "你好，您的麻辣烫到了，我现在在您楼下。" + "方便的话我放门口，不方便您说一声，我马上上来。" + ), + "self_3y": ( + "刚来北京的时候，地铁里人挤人，我还紧张得不敢说话。" + "但是看见国贸的灯，真的觉得一切都值得。" + ), +} + +# 每角色 5 种 Voice Design 变体（编号 v01–v05，供试听挑选） +ROLE_VOICE_VARIANTS = { + "linxia": [ + "24岁中国女性，中低音女声，声线偏薄，疲惫但清醒，克制有温度，普通话，像深夜发微信语音", + "24岁中国女性，略带气声的中音，慢语速，柔软但有分寸，像刚下班躺床上回消息", + "25岁中国女性，稳而轻的中音女声，有距离感但不冷，都市年轻人，普通话标准", + "23岁中国女性，声线略低，清醒克制，字句短，像怕吵醒室友的轻声", + "24岁中国女性，清朗中音，疲惫里藏一点温度，语速偏慢，像对自己说话", + ], + "mom": [ + "52岁中国女性，温厚中老年女声，音色略哑，轻微西部口音，说话慢而稳，像母亲打电话", + "50岁中国女性，柔和中音，带一点鼻音，语速慢，温柔试探，像怕打扰女儿", + "55岁中国女性，低沉温厚女声，轻微方言感，像回忆往事时说话", + "48岁中国女性，清亮一点的中老年女声，关切但不啰嗦，母亲语气", + "52岁中国女性，沙哑温声，情感克制，像深夜给女儿发长语音", + ], + "azhe": [ + "27岁中国男性，清朗偏低男声，城市口音，理性偏冷，语速平稳，用词克制，略带距离感", + "28岁中国男性，中低音男声，冷静直接，不多废话，像同事发工作语音", + "26岁中国男性，偏薄男声，语速正常，礼貌但疏离，都市青年", + "29岁中国男性，低沉男中音，慢语速，克制，像鼓足勇气打电话", + "27岁中国男性，清爽男声，平稳，略带紧张，真诚但不油", + ], + "xiaomei": [ + "24岁中国女性，明亮偏高的女声，语速快，活泼直接，像闺蜜连发语音，能量足", + "23岁中国女性，甜亮高音，语速很快，兴奋，像群里@你", + "25岁中国女性，明亮女声，语速中等偏快，直来直去，闺蜜语气", + "24岁中国女性，偏高女声，带笑说话，活泼，像分享八卦", + "22岁中国女性，清脆女声，快语速，热情，像连珠炮", + ], + "xiaomei_drunk": [ + "24岁中国女性，同闺蜜音色但喝醉了，口齿略含糊，情绪起伏大，时而哭时而笑", + "24岁中国女性，醉态女声，黏糊，语速忽快忽慢，带哭腔", + "25岁中国女性，喝醉的女声，舌头打结，情绪上来，委屈又笑", + "23岁中国女性，微醺女声，含混，像深夜酒后的语音", + "24岁中国女性，醉酒后女声，鼻音重，情绪不稳定，像倾诉秘密", + ], + "zhounan": [ + "26岁中国男性，温和偏闷的男中音，略拘谨，语速偏慢，像很久没联系的老同学，真诚不油", + "27岁中国男性，低沉男声，慢语速，略带怀旧，像回忆往事", + "25岁中国男性，普通青年男声，真诚，略紧张，老同学语气", + "28岁中国男性，温厚男中音，语速慢，像生日夜独自说话", + "26岁中国男性，清爽男声，克制，小心翼翼，不想打扰对方", + ], + "hr": [ + "38岁中国女性，成熟职场女声，中音区，知性干练，疲惫的善意，像HR发工作语音", + "40岁中国女性，沉稳职场女声，语速正常，专业但不冷漠", + "36岁中国女性，温和职场女声，像前辈善意提醒", + "38岁中国女性，中低音职场女声，干脆，像办完离职手续的叮嘱", + "42岁中国女性，略哑成熟女声，阅历感，疲惫但真诚", + ], + "anan": [ + "23岁中国女性，甜亮高音女声，语速快，比闺蜜更嗲，像在酒吧里喊，背景略吵", + "22岁中国女性，尖亮女声，兴奋，像在Helens里喊朋友", + "24岁中国女性，偏高女声，带醉意，活泼，像夜场里发语音", + "23岁中国女性，甜腻高音，快语速，像撒娇式喊话", + "22岁中国女性，明亮女声，能量很高，像在嘈杂环境里说话", + ], + "dorm_a": [ + "22岁中国女性，兴奋尖亮女声，语速很快，像群里报喜，充满喜悦", + "21岁中国女性，高音女声，极快语速，像刚得知好消息", + "23岁中国女性，明亮女声，兴奋，像室友群里连发", + "22岁中国女性，清脆女声，快，带笑，报喜语气", + "20岁中国女性，年轻尖声，语速很快，像大学生群聊", + ], + "dorm_b": [ + "23岁中国女性，普通随和女声，中音，语速正常，像室友起哄", + "22岁中国女性，平和女声，中等语速，像关心室友", + "24岁中国女性，随和中音，正常语速，像群里接话", + "23岁中国女性，略低女声，温和，像怕打扰又忍不住说", + "22岁中国女性，普通青年女声，自然，像宿舍闲聊", + ], + "dorm_c": [ + "23岁中国女性，温柔低声女声，语速略慢，像注意到朋友沉默的室友", + "22岁中国女性，轻声女声，慢语速，体贴，像悄悄关心", + "24岁中国女性，温软中音，语速慢，像怕戳痛对方", + "23岁中国女性，低柔女声，轻声，像宿舍熄灯后说话", + "22岁中国女性，温柔女声，慢而稳，像递一杯水那样说话", + ], + "delivery": [ + "30岁中国北方男性，男声，中低音，语速适中偏慢，北方口音，礼貌直接，像外卖小哥打电话", + "32岁中国北方男性，男声，偏低沉稳，语速慢，普通话带北方味，熟手外卖员通知取餐", + "28岁中国男性，男声，普通青年音，语速正常，清楚有条理，送餐到了打电话", + "35岁中国北方男性，男声，略粗中音，语速适中，直接但不催，外卖电话", + "30岁中国男性，男声，清爽青年音，语速偏慢，礼貌清楚，放门口前确认", + ], + "self_3y": [ + "21岁中国女性，比林夏更亮更高的女声，刚来北京，兴奋带紧张，声音更年轻", + "20岁中国女性，明亮高音，年轻，带一点紧张，像初到北京", + "22岁中国女性，清亮女声，兴奋，像第一次看见大城市", + "21岁中国女性，偏高女声，语速快，紧张又期待，刚毕业", + "20岁中国女性，少女音，亮而轻，像给闺蜜发语音报喜", + ], +} diff --git a/audio_2/voice_style_prompts.py b/audio_2/voice_style_prompts.py new file mode 100644 index 0000000..e49ad5e --- /dev/null +++ b/audio_2/voice_style_prompts.py @@ -0,0 +1,177 @@ +""" +《林夏》角色 Voice Design 提示词 + +纯提示词生成音色，不使用 reference_wav_path。 +API: POST /v1/speech/styled { text, style } （不传 voice_id） + +每个角色有独立的「音色描述」；同角色不同台词仅叠加「表演修饰」。 +""" + +# ── 角色音色（Voice Design 核心：决定“谁在说”） ───────────── +# 男声角色：azhe / zhounan / delivery — 必须含「男声/男性」 +ROLE_VOICE_DESIGN = { + "linxia": ( + "24岁中国女性，中低音女声，声线偏薄但稳定，" + "疲惫但清醒，克制有温度，普通话，像深夜发微信语音" + ), + "mom": ( + "52岁中国女性，温厚的中老年女声，音色略哑，" + "轻微西部口音，说话慢而稳，像母亲打电话" + ), + "azhe": ( + "27岁中国男性，清朗偏低男声，城市口音，" + "理性偏冷，语速平稳，用词克制，略带距离感" + ), + "xiaomei": ( + "24岁中国女性，明亮偏高的女声，语速快，" + "活泼直接，像闺蜜连发语音，能量足" + ), + "xiaomei_drunk": ( + "24岁中国女性，同闺蜜音色但喝醉了，" + "口齿略含糊，情绪起伏大，时而哭时而笑" + ), + "zhounan": ( + "26岁中国男性，温和偏闷的男中音，略拘谨，" + "语速偏慢，像很久没联系的老同学，真诚不油" + ), + "hr": ( + "38岁中国女性，成熟职场女声，中音区，" + "知性干练，疲惫的善意，像HR发工作语音" + ), + "anan": ( + "23岁中国女性，甜亮高音女声，语速快，" + "比闺蜜更嗲，像在酒吧里喊，背景略吵" + ), + "dorm_a": ( + "22岁中国女性，兴奋尖亮女声，语速很快，" + "像群里报喜，充满喜悦" + ), + "dorm_b": ( + "23岁中国女性，普通随和女声，中音，" + "语速正常，像室友起哄" + ), + "dorm_c": ( + "23岁中国女性，温柔低声女声，" + "语速略慢，像注意到朋友沉默的室友" + ), + "delivery": ( + "30岁中国北方男性，男声，中低音，" + "语速适中偏慢，北方口音，礼貌直接，像外卖小哥打电话" + ), + "self_3y": ( + "21岁中国女性，比林夏更亮更高的女声，" + "刚来北京，兴奋带紧张，声音更年轻" + ), +} + +# ── 表演修饰（同角色内：决定“怎么说”） ───────────────────── +LINXIA_PERFORMANCE = { + "_warm": "语气温暖开放，柔软但有分寸", + "_cold": "语气冷淡疏离，短促", + "_curious": "语气好奇，略带追问", + "_tap": "极简回应，中性敷衍", + "_auto": "疲惫克制，轻声", + "_silent": "极度退缩，气声很重", + "ending_": "结局独白，轻声自语", + "sys_": "平静清晰，像对自己说话", +} + +MOM_SEGMENT_PERFORMANCE = { + "seg1": "温柔试探，像怕打扰女儿", + "seg2": "平静追忆", + "seg3": "克制回忆痛苦", + "seg4": "释然", + "seg5": "深沉情感，声音更轻", + "seg6": "极简温柔", + "seg7": "不要求回应的 tender", + "seg8": "几乎微笑的晚安", +} + +ZHOUNAN_SEGMENT_PERFORMANCE = { + "_seg1": "真诚回忆，略带感激", + "_seg2": "自嘲平淡", + "_seg3": "小心翼翼", + "_seg4": "生日夜的孤独", +} + +XIAOMEI_DRUNK_PERFORMANCE = { + "seg1": "醉态开场，黏糊", + "seg2": "醉态爆料，情绪上来", + "seg3": "醉态解释，委屈", + "seg4": "醉态收尾，失落", +} + + +def _performance(filename: str, role: str) -> str | None: + name = filename.lower() + + if role == "linxia": + for key, perf in LINXIA_PERFORMANCE.items(): + if key in name: + return perf + + if role == "mom" and "mom_voice_01" in name: + for seg, perf in MOM_SEGMENT_PERFORMANCE.items(): + if seg in name: + return perf + + if role == "zhounan" and "2345_zhounan" in name: + for seg, perf in ZHOUNAN_SEGMENT_PERFORMANCE.items(): + if seg in name: + return perf + + if role == "xiaomei_drunk": + for seg, perf in XIAOMEI_DRUNK_PERFORMANCE.items(): + if seg in name: + return perf + + if "_react_warm" in name or "_r3_react_warm" in name: + return "语气更温暖积极" + if "_react_cold" in name or "_r3_react_cold" in name: + return "语气更冷淡" + if "_react_curious" in name: + return "语气好奇，略追问" + if "_react_silent" in name: + return "语气犹豫，像等对方回应" + + if role == "mom": + if "v2_msg10_call" in name or name.endswith("_call_mom"): + return "电话里听到女儿声音不对，担心但克制" + if "0015_mom_call" in name: + return "担心女儿，语气轻但着急" + + if role == "azhe" and ("2315_azhe_call" in name or "v2_msg11" in name): + return "电话里略紧张，像鼓足勇气" + + if "ending_e" in name and role == "zhounan": + return "轻快一点，像看到希望" + + return None + + +def get_clone_style(filename: str, role: str, text: str) -> str: + """Style Control 克隆模式：仅返回表演修饰，音色由参考音频提供。""" + perf = _performance(filename, role) + if perf: + return perf + if role == "self_3y": + if "voice_01" in filename: + return "兴奋带紧张，像刚来北京" + if "voice_02" in filename: + return "疲惫但假装坚强" + if "voice_03" in filename: + return "平静有力，像对未来的自己说话" + return "" + + +def get_style(filename: str, role: str, text: str) -> str: + """返回 Voice Design 完整提示词（音色 + 可选表演）。""" + voice = ROLE_VOICE_DESIGN.get(role, ROLE_VOICE_DESIGN["linxia"]) + perf = _performance(filename, role) + if perf: + return f"{voice}，{perf}" + return voice + + +# 兼容旧名 +get_voice_design = get_style diff --git a/audio_2/角色语音风格提示词.md b/audio_2/角色语音风格提示词.md new file mode 100644 index 0000000..262b2d9 --- /dev/null +++ b/audio_2/角色语音风格提示词.md @@ -0,0 +1,73 @@ +# 《林夏》角色 Voice Design 提示词 + +> **模式**：VoxCPM2 **Voice Design**（纯提示词，**不使用** `voice/` 参考音频） +> **接口**：`POST /v1/speech/styled` — `{ "text": "...", "style": "..." }`（**不传** `voice_id`） +> **目的**：每个角色用不同提示词生成**不同音色**；同角色内用表演修饰控制 warm/cold 等分支。 + +--- + +## 1. 与 v2 的区别 + +| | v2 (`v2_styled`) | v3 (`v3_voice_design`) | +|---|---|---| +| 音色来源 | `voice/{角色}/` 参考音频克隆 | 提示词描述音色 | +| API | `voice_id` + `style` | 仅 `style` | +| 同角色音色 | 与 audio_1 相同 | **全新，各角色互不相同** | + +--- + +## 2. 角色音色提示词（Voice Design 核心） + +| 角色 | 性别 | design 提示词 | +|------|------|--------------| +| `linxia` | 女 | 24岁中国女性，中低音女声，声线偏薄但稳定，疲惫但清醒，克制有温度，普通话，像深夜发微信语音 | +| `mom` | 女 | 52岁中国女性，温厚的中老年女声，音色略哑，轻微西部口音，说话慢而稳，像母亲打电话 | +| `azhe` | **男** | 27岁中国男性，清朗偏低男声，城市口音，理性偏冷，语速平稳，用词克制，略带距离感 | +| `xiaomei` | 女 | 24岁中国女性，明亮偏高的女声，语速快，活泼直接，像闺蜜连发语音，能量足 | +| `xiaomei_drunk` | 女 | 24岁中国女性，同闺蜜音色但喝醉了，口齿略含糊，情绪起伏大，时而哭时而笑 | +| `zhounan` | **男** | 26岁中国男性，温和偏闷的男中音，略拘谨，语速偏慢，像很久没联系的老同学，真诚不油 | +| `hr` | 女 | 38岁中国女性，成熟职场女声，中音区，知性干练，疲惫的善意，像HR发工作语音 | +| `anan` | 女 | 23岁中国女性，甜亮高音女声，语速快，比闺蜜更嗲，像在酒吧里喊，背景略吵 | +| `dorm_a` | 女 | 22岁中国女性，兴奋尖亮女声，语速很快，像群里报喜，充满喜悦 | +| `dorm_b` | 女 | 23岁中国女性，普通随和女声，中音，语速正常，像室友起哄 | +| `dorm_c` | 女 | 23岁中国女性，温柔低声女声，语速略慢，像注意到朋友沉默的室友 | +| `delivery` | **男** | 30岁中国北方男性，**男声**，偏低略粗，麻利直接，语速快，北方口音，像外卖小哥打电话 | +| `self_3y` | 女 | 21岁中国女性，比林夏更亮更高的女声，刚来北京，兴奋带紧张，声音更年轻 | + +配置文件：`audio_2/voice_style_prompts.py` + +--- + +## 3. 表演修饰（同角色叠加） + +林夏等分支台词会在音色描述后追加，例如： + +- `_warm` → `，语气温暖开放，柔软但有分寸` +- `_cold` → `，语气冷淡疏离，短促` +- 妈妈长语音 seg1–seg8、周南 seg1–seg4、小美醉 seg1–seg4 等见 `voice_style_prompts.py` + +--- + +## 4. 批量生产 + +```bash +VOXCPM_PORT=8002 bash /home/xsl/tts-server/start-voxcpm.sh + +# 全量 +VOXCPM_PORT=8002 python audio_2/scripts/02_gen_tts_voice_design.py --force + +# 试听单个角色 +python audio_2/scripts/02_gen_tts_voice_design.py --role delivery --test --force +python audio_2/scripts/02_gen_tts_voice_design.py --role linxia --test --force +``` + +输出：`audio_2/tts/v3_voice_design/*_wav_v3.mp3` +清单：`audio_2/tts/v3_voice_design/voice_design_manifest.tsv` + +--- + +## 5. 注意事项 + +1. **Voice Design 同角色各条之间音色可能略有漂移**——无参考音频锚定。若某角色不稳定，可挑一条满意的音频注册为参考，改回 Style Control。 +2. **调整音色**：改 `ROLE_VOICE_DESIGN` 里对应角色的描述，重跑该角色即可。 +3. **外卖小哥必须是男声**——已在 `delivery` 提示词中写明「中国北方男性，男声」。 diff --git a/audio_2/项目状态说明.md b/audio_2/项目状态说明.md new file mode 100644 index 0000000..f48aa69 --- /dev/null +++ b/audio_2/项目状态说明.md @@ -0,0 +1,236 @@ +# 《林夏》音频制作 — 当前状态说明 + +> 更新日期：2026-05-23 +> 本文档记录 TTS 音色选型、全量生成、游戏部署的**现行状态**，便于下次继续迭代。 + +--- + +## 1. 一句话总结 + +**游戏当前使用的是 v5 克隆音色**：从 Voice Design 试听样本中选定参考音频 → VoxCPM2 Style Control 克隆 → 部署到 `audio/mp3/tts/*_wav_v1.mp3`。 +`audio/mp3/` 已清理，仅保留游戏引用的 **184** 个文件。 + +--- + +## 2. 游戏实际加载哪些音频 + +游戏代码在 `game/js/story.js`、`game/js/engine.js`，根路径： + +``` +../audio/mp3/ +├── tts/ 对白（177 条） +├── music/ BGM、铃声 +├── sfx/ 音效 +└── ambience/ 环境音 +``` + +### 命名规则（重要） + +| 文件名 | 游戏是否使用 | +|--------|-------------| +| `*_wav_v1.mp3` | **是** — 全部对白、系统语音都用这种 | +| `*_mp3_v1.mp3` | **否** — 旧流水线遗留，已全部删除 | + +后缀里的 `wav` 表示「用 WAV 参考音色生成的 v1 版」，文件格式仍是 MP3。 + +### 示例 + +``` +game/js/story.js → npc('lv11_0015_mom_call_01_wav_v1.mp3') +实际文件 → audio/mp3/tts/lv11_0015_mom_call_01_wav_v1.mp3 +``` + +**不需要改 `story.js`**，只要更新 `audio/mp3/tts/` 里对应的 `*_wav_v1.mp3` 即可。 + +--- + +## 3. TTS 服务 + +| 项目 | 路径 / 值 | +|------|-----------| +| 服务目录 | `/home/xsl/tts-server/` | +| 启动脚本 | `VOXCPM_PORT=8002 VOXCPM_ENABLE_DENOISER=0 bash /home/xsl/tts-server/start-voxcpm.sh` | +| 端口 | **8002**（8000 被 head3d 占用） | +| 健康检查 | `curl http://127.0.0.1:8002/health` | +| 主要接口 | `POST /v1/voices` 注册参考音频 | +| | `POST /v1/speech/styled` 合成（`voice_id` + `style` = 克隆；无 `voice_id` = Voice Design） | + +--- + +## 4. 音色演进（v1 → v5） + +| 版本 | 目录 | 方式 | 状态 | +|------|------|------|------| +| v1 | `audio_1/tts/v1_voxcpm2/` | 旧参考音频直接克隆，无 style | 已被 v5 替代 | +| v2 | `audio_2/tts/v2_styled/`（已不在磁盘） | 旧参考 + Style Control 表演 | 已废弃 | +| v3 | `audio_2/tts/v3_voice_design/`（已不在磁盘） | 纯 Voice Design，无参考 | 已废弃 | +| v4 | `audio_2/tts/v4_voice_samples/` | 每角色 5 条试听，用户挑选 | **保留选定样本** | +| **v5** | `audio_2/tts/v5_cloned/` | 选定样本克隆 + 表演修饰 | **当前正式版** | +| 游戏 | `audio/mp3/tts/*_wav_v1.mp3` | v5 自动部署副本 | **游戏正在使用** | + +--- + +## 5. 各角色选定的参考音色（v4 试听挑选） + +参考文件位于 `audio_2/tts/v4_voice_samples/{角色}/`，每角色仅保留 1 条 `.wav`： + +| 角色 | 选定文件 | 性别 | +|------|----------|------| +| linxia | `linxia_v05.wav` | 女 | +| mom | `mom_v01.wav` | 女 | +| azhe | `azhe_v03.wav` | 男 | +| xiaomei | `xiaomei_v05.wav` | 女 | +| xiaomei_drunk | `xiaomei_drunk_v05.wav` | 女 | +| zhounan | `zhounan_v05.wav` | 男 | +| hr | `hr_v05.wav` | 女 | +| anan | `anan_v04.wav` | 女 | +| dorm_a | `dorm_a_v03.wav` | 女 | +| dorm_b | `dorm_b_v02.wav` | 女 | +| dorm_c | `dorm_c_v03.wav` | 女 | +| delivery | `delivery_v04.wav` | **男** | +| self_3y | `self_3y_v03.wav` | 女 | + +副本已同步到 `voice/{角色}/{角色}_ref.wav`（`xiaomei_drunk` → `voice/xiaomei/xiaomei_drunk_ref.wav`，`self_3y` → `voice/linxia/self_3y_ref.wav`）。 + +--- + +## 6. v5 全量生成结果 + +- **177 条** MP3：`audio_2/tts/v5_cloned/*_wav_v5.mp3` +- **177 条**已部署：`audio/mp3/tts/*_wav_v1.mp3` +- 生成清单：`audio_2/tts/v5_cloned/clone_manifest.tsv` + +来源台词表：`audio/batch_tts_voxcpm.py` 中 `LINES`（173 条）+ 脚本内 `EXTRA_LINES`（4 条）： + +| 额外文件 | 角色 | 说明 | +|----------|------|------| +| `lv11_0030_self3y_voice_01/02/03` | self_3y | 三年前录音三版 | +| `lv11_sys_memo_01` | linxia | 系统提示「三年前今天…」 | + +克隆时**只用表演修饰**（warm/cold/分段等），音色完全由参考 wav 决定。配置见 `audio_2/voice_style_prompts.py` 中 `get_clone_style()`。 + +--- + +## 7. 目录结构速查 + +``` +blind/ +├── game/js/story.js 游戏剧情 + 音频引用 +├── game/js/engine.js 系统语音、结局、BGM +├── audio/ +│ ├── batch_tts_voxcpm.py 台词表 LINES + 角色语速 ROLES +│ └── mp3/ 游戏运行时音频（184 文件，已清理） +│ ├── tts/ 177 条对白 +│ ├── music/ +│ ├── sfx/ +│ └── ambience/ +├── voice/ 各角色参考音频（含 v5 选定副本） +└── audio_2/ + ├── 项目状态说明.md ← 本文档 + ├── 角色语音风格提示词.md Voice Design 说明（历史参考） + ├── voice_style_prompts.py 表演修饰 + Voice Design 提示词 + ├── voice_sample_prompts.py v4 试听：5 变体/角色 + 统一试听文本 + ├── scripts/ + │ ├── 01_gen_tts_styled.py v2 Style Control（旧） + │ ├── 02_gen_tts_voice_design.py v3 Voice Design（旧） + │ ├── 03_gen_voice_samples.py v4 生成试听样本 + │ └── 04_gen_tts_clone.py v5 克隆 + 部署游戏 ★ + └── tts/ + ├── v4_voice_samples/ 选定参考音色（每角色 1 wav + mp3） + └── v5_cloned/ 正式产物 + clone_manifest.tsv +``` + +--- + +## 8. 常用命令 + +### 启动 TTS + +```bash +VOXCPM_PORT=8002 VOXCPM_ENABLE_DENOISER=0 bash /home/xsl/tts-server/start-voxcpm.sh +curl http://127.0.0.1:8002/health +``` + +### 重跑全量克隆（改参考音频或提示词后） + +```bash +cd /home/xsl/blind +VOXCPM_PORT=8002 python audio_2/scripts/04_gen_tts_clone.py --force +``` + +- 输出：`audio_2/tts/v5_cloned/*_wav_v5.mp3` +- 自动覆盖：`audio/mp3/tts/*_wav_v1.mp3` + +### 只重跑某角色 + +```bash +VOXCPM_PORT=8002 python audio_2/scripts/04_gen_tts_clone.py --role mom --force +``` + +### 重新生成某角色试听（换提示词挑音色） + +```bash +VOXCPM_PORT=8002 python audio_2/scripts/03_gen_voice_samples.py --role delivery --force +``` + +### 预览任务不合成 + +```bash +python audio_2/scripts/04_gen_tts_clone.py --dry-run +``` + +--- + +## 9. 其他音频服务（非 TTS） + +| 用途 | 位置 | +|------|------| +| 音乐 / 音效生成 | `/home/xsl/tools/ACE-Step-1.5` | +| Stable Audio | `/home/xsl/tools/stable-audio-tools` | +| UI 短音效 | Web Audio（浏览器内合成） | + +VoxCPM2 **不能**用提示词生成敲门、心跳等 SFX，只能做人声 TTS。 + +--- + +## 10. 已知注意点 + +1. **Voice Design 音色不稳定**：同角色各条可能漂移，因此最终方案是「试听选定 → 克隆锚定」。 +2. **外卖小哥语速**：`delivery` 提示词已调慢，`ROLES["delivery"]["speed"]` 已从 1.20 改为 **1.00**。 +3. **男声角色**：`azhe`、`zhounan`、`delivery`。 +4. **重新清理未使用音频**：扫描 `game/js/*.js` 与 `audio/mp3/` 对比删除；当前已对齐（184 = 184）。 +5. **改游戏引用**：若将来改用 `_wav_v5.mp3` 等新后缀，需批量改 `story.js` / `engine.js`；目前无需改动。 + +--- + +## 11. 下次可继续的事 + +- [ ] 实机/playtest 听一遍各角色，标记需重跑的台词或角色 +- [ ] 若某角色不满意：改 `voice_sample_prompts.py` → 重跑 `03` 挑选 → 替换 `v4_voice_samples/{role}/` → 重跑 `04` +- [ ] 微调单条表演：改 `voice_style_prompts.py` 中 `_performance` 规则 → `--role xxx --force` +- [ ] 设计文档：`林夏.md`、`执行文档_音频素材制作.md` + +--- + +## 12. 快速验证游戏音频是否正常 + +```bash +# 游戏引用的文件是否都存在 +python3 - <<'PY' +import re +from pathlib import Path +root = Path("/home/xsl/blind") +text = "".join((root/"game/js/story.js").read_text() + (root/"game/js/engine.js").read_text()) +refs = set() +for m in re.finditer(r'\$\{(MUS|SFX|AMB|T)\}/([^`\']+\.mp3)', text): + sub = {'MUS':'music','SFX':'sfx','AMB':'ambience','T':'tts'}[m.group(1)] + refs.add(root/f"audio/mp3/{sub}/{m.group(2)}") +for m in re.finditer(r"(?:npc|lx|rx)\('([^']+\.mp3)'\)", text): + refs.add(root/f"audio/mp3/tts/{m.group(1)}") +missing = [r for r in refs if not r.exists()] +print(f"引用 {len(refs)} 缺失 {len(missing)}") +for p in sorted(missing): print(" MISSING:", p.relative_to(root)) +PY +``` + +预期输出：`缺失 0`。 diff --git a/voice/anan/anan_ref.wav b/voice/anan/anan_ref.wav new file mode 100644 index 0000000..06271eb Binary files /dev/null and b/voice/anan/anan_ref.wav differ diff --git a/voice/azhe/azhe_ref.wav b/voice/azhe/azhe_ref.wav new file mode 100644 index 0000000..88060cf Binary files /dev/null and b/voice/azhe/azhe_ref.wav differ diff --git a/voice/delivery/delivery_ref.wav b/voice/delivery/delivery_ref.wav new file mode 100644 index 0000000..6fbd0fa Binary files /dev/null and b/voice/delivery/delivery_ref.wav differ diff --git a/voice/dorm_a/dorm_a_ref.wav b/voice/dorm_a/dorm_a_ref.wav new file mode 100644 index 0000000..e3c9020 Binary files /dev/null and b/voice/dorm_a/dorm_a_ref.wav differ diff --git a/voice/dorm_b/dorm_b_ref.wav b/voice/dorm_b/dorm_b_ref.wav new file mode 100644 index 0000000..38d08ce Binary files /dev/null and b/voice/dorm_b/dorm_b_ref.wav differ diff --git a/voice/dorm_c/dorm_c_ref.wav b/voice/dorm_c/dorm_c_ref.wav new file mode 100644 index 0000000..533816c Binary files /dev/null and b/voice/dorm_c/dorm_c_ref.wav differ diff --git a/voice/hr/hr_ref.wav b/voice/hr/hr_ref.wav new file mode 100644 index 0000000..2833e76 Binary files /dev/null and b/voice/hr/hr_ref.wav differ diff --git a/voice/linxia/linxia_ref.wav b/voice/linxia/linxia_ref.wav index f13e197..11176ba 100644 Binary files a/voice/linxia/linxia_ref.wav and b/voice/linxia/linxia_ref.wav differ diff --git a/voice/linxia/self_3y_ref.wav b/voice/linxia/self_3y_ref.wav new file mode 100644 index 0000000..3b08a8a Binary files /dev/null and b/voice/linxia/self_3y_ref.wav differ diff --git a/voice/mom/mom_ref.wav b/voice/mom/mom_ref.wav new file mode 100644 index 0000000..779d1ca Binary files /dev/null and b/voice/mom/mom_ref.wav differ diff --git a/voice/xiaomei/xiaomei_drunk_ref.wav b/voice/xiaomei/xiaomei_drunk_ref.wav new file mode 100644 index 0000000..9e14fd3 Binary files /dev/null and b/voice/xiaomei/xiaomei_drunk_ref.wav differ diff --git a/voice/xiaomei/xiaomei_ref.wav b/voice/xiaomei/xiaomei_ref.wav new file mode 100644 index 0000000..7dd7f70 Binary files /dev/null and b/voice/xiaomei/xiaomei_ref.wav differ diff --git a/voice/zhounan/zhounan_ref.wav b/voice/zhounan/zhounan_ref.wav new file mode 100644 index 0000000..e7ccac0 Binary files /dev/null and b/voice/zhounan/zhounan_ref.wav differ