SoundGame Dev
cc0f8c008d
- 新增 web/ 纯音频 HTML5 平台：共享引擎（手势/WebAudio 三层/设置/震动）、 Node 零依赖服务器（静态 + 注册登录 + 进度存档 API） - 游戏：剑与声(RPG 新作)、声命线、暗室(重设计)、音序回响(重设计)、 节拍行者(跟随领奏重构)、盲航(同向闪避重构)；声东击西删除 - 全局功能：男声/女声双套 TTS 资产、三档语速、BGM 音量三档、 震动反馈语言(10 种震型)、服务器进度同步 - 资产：899 ogg + 899 m4a（Qwen3-TTS 双性别语音、Stable Audio 3 音效、 Mureka BGM 4+3 首），终检零缺失 - 文档：docs/design/ 13 篇设计审查文档、docs/audio/ 资产管线、 web/server/README.md API 文档
84 lines
3.4 KiB
Python
84 lines
3.4 KiB
Python
"""盲航（space）TTS 对白批量生成：教学旁白 + 游戏内提示 + 数字播报。
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用法：flock /home/ubuntu/SoundGame/.gpu.lock .venv-tts/bin/python gen_voice.py
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输出 24kHz wav 到 web/space/audio/build/voice/，随后由 ffmpeg 转 ogg/m4a。
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"""
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import os
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os.environ.setdefault("HF_HOME", "/home/ubuntu/SoundGame/models/hf")
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os.environ.setdefault("HF_ENDPOINT", "https://hf-mirror.com")
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import numpy as np
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import soundfile as sf
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import torch
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from qwen_tts import Qwen3TTSModel
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OUT = "/home/ubuntu/SoundGame/web/space/audio/build/voice"
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os.makedirs(OUT, exist_ok=True)
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CALM = "冷静、沉稳的飞船导航合成语音，吐字清晰"
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URGENT = "急促、紧张的警报语气，音量偏大"
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# (文件名, 文本, instruct)
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LINES = [
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("intro1", "欢迎登舰，飞行员。这里是盲航号——没有舷窗，没有仪表，你的双眼已经没用了。从现在起，只靠耳朵飞。", CALM),
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("intro2", "陨石会从四个方向逼近。呼啸声在左边，就向右滑；在右边，就向左滑；上方传来尖锐呼啸，就向下滑；下方传来低沉轰隆，就向上滑。永远朝声音的反面躲。", CALM),
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("intro3", "单击屏幕，引擎加速，可以冲过空隙；双击展开护盾，挡下一次撞击，之后三十秒才能再次充能。警报声越响，陨石越近。", CALM),
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("intro4", "船体只能承受三次撞击。教学完毕，盲航开始。祝你好运。", CALM),
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("hit1", "船体受损！还能承受两次撞击。", URGENT),
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("hit2", "船体严重受损！再挨一次就完了！", URGENT),
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("shield_block", "护盾挡下了撞击。", CALM),
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("shield_ready", "护盾充能完毕。", CALM),
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("gameover", "飞船坠毁。", "沉重、惋惜的语气"),
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("restart", "单击屏幕，再次启航。", CALM),
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("n_time", "存活时间", CALM),
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("n_sec", "秒", CALM),
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("n_dodge", "共躲过陨石", CALM),
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("n_ge", "颗", CALM),
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("n_milestone", "已躲过", CALM),
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("num0", "零", CALM),
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("num1", "一", CALM),
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("num2", "二", CALM),
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("num3", "三", CALM),
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("num4", "四", CALM),
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("num5", "五", CALM),
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("num6", "六", CALM),
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("num7", "七", CALM),
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("num8", "八", CALM),
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("num9", "九", CALM),
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("num_shi", "十", CALM),
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("num_bai", "百", CALM),
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]
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model = Qwen3TTSModel.from_pretrained(
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"Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice",
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device_map="cuda:0",
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dtype=torch.bfloat16,
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)
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print("model loaded")
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# 已有非空 wav 的行跳过（支持失败续跑）
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todo = [(n, t, i) for n, t, i in LINES
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if not (os.path.exists(f"{OUT}/{n}.wav") and os.path.getsize(f"{OUT}/{n}.wav") > 1024)]
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print(f"todo: {len(todo)} / {len(LINES)}")
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BATCH = 6 # 小批量，失败时损失可控
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for i in range(0, len(todo), BATCH):
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chunk = todo[i:i + BATCH]
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wavs, sr = model.generate_custom_voice(
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text=[c[1] for c in chunk],
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language=["Chinese"] * len(chunk),
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speaker=["Serena"] * len(chunk),
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instruct=[c[2] for c in chunk],
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)
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for (name, _, _), wav in zip(chunk, wavs):
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path = f"{OUT}/{name}.wav"
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sf.write(path, wav, sr)
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dur = len(wav) / sr
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peak = float(np.max(np.abs(wav)))
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print(f"{name}: {dur:.2f}s peak={peak:.3f}")
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assert dur > 0.3, f"{name} too short ({dur:.2f}s)"
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assert peak > 0.05, f"{name} too quiet (peak={peak:.3f})"
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print("ALL_DONE")
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