HTML5 重写：6 款游戏 + 用户系统 + 全局设置 + 5 轮迭代重构

- 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

web/space/gen_voice.py

@@ -0,0 +1,83 @@
+"""盲航（space）TTS 对白批量生成：教学旁白 + 游戏内提示 + 数字播报。
+
+用法：flock /home/ubuntu/SoundGame/.gpu.lock .venv-tts/bin/python gen_voice.py
+输出 24kHz wav 到 web/space/audio/build/voice/，随后由 ffmpeg 转 ogg/m4a。
+"""
+import os
+
+os.environ.setdefault("HF_HOME", "/home/ubuntu/SoundGame/models/hf")
+os.environ.setdefault("HF_ENDPOINT", "https://hf-mirror.com")
+
+import numpy as np
+import soundfile as sf
+import torch
+from qwen_tts import Qwen3TTSModel
+
+OUT = "/home/ubuntu/SoundGame/web/space/audio/build/voice"
+os.makedirs(OUT, exist_ok=True)
+
+CALM = "冷静、沉稳的飞船导航合成语音，吐字清晰"
+URGENT = "急促、紧张的警报语气，音量偏大"
+
+# (文件名, 文本, instruct)
+LINES = [
+    ("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),
+    ("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),
+    ("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),
+    ("intro4", "船体只能承受三次撞击。教学完毕，盲航开始。祝你好运。", CALM),
+    ("hit1", "船体受损！还能承受两次撞击。", URGENT),
+    ("hit2", "船体严重受损！再挨一次就完了！", URGENT),
+    ("shield_block", "护盾挡下了撞击。", CALM),
+    ("shield_ready", "护盾充能完毕。", CALM),
+    ("gameover", "飞船坠毁。", "沉重、惋惜的语气"),
+    ("restart", "单击屏幕，再次启航。", CALM),
+    ("n_time", "存活时间", CALM),
+    ("n_sec", "秒", CALM),
+    ("n_dodge", "共躲过陨石", CALM),
+    ("n_ge", "颗", CALM),
+    ("n_milestone", "已躲过", CALM),
+    ("num0", "零", CALM),
+    ("num1", "一", CALM),
+    ("num2", "二", CALM),
+    ("num3", "三", CALM),
+    ("num4", "四", CALM),
+    ("num5", "五", CALM),
+    ("num6", "六", CALM),
+    ("num7", "七", CALM),
+    ("num8", "八", CALM),
+    ("num9", "九", CALM),
+    ("num_shi", "十", CALM),
+    ("num_bai", "百", CALM),
+]
+
+model = Qwen3TTSModel.from_pretrained(
+    "Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice",
+    device_map="cuda:0",
+    dtype=torch.bfloat16,
+)
+print("model loaded")
+
+# 已有非空 wav 的行跳过（支持失败续跑）
+todo = [(n, t, i) for n, t, i in LINES
+        if not (os.path.exists(f"{OUT}/{n}.wav") and os.path.getsize(f"{OUT}/{n}.wav") > 1024)]
+print(f"todo: {len(todo)} / {len(LINES)}")
+
+BATCH = 6  # 小批量，失败时损失可控
+for i in range(0, len(todo), BATCH):
+    chunk = todo[i:i + BATCH]
+    wavs, sr = model.generate_custom_voice(
+        text=[c[1] for c in chunk],
+        language=["Chinese"] * len(chunk),
+        speaker=["Serena"] * len(chunk),
+        instruct=[c[2] for c in chunk],
+    )
+    for (name, _, _), wav in zip(chunk, wavs):
+        path = f"{OUT}/{name}.wav"
+        sf.write(path, wav, sr)
+        dur = len(wav) / sr
+        peak = float(np.max(np.abs(wav)))
+        print(f"{name}: {dur:.2f}s peak={peak:.3f}")
+        assert dur > 0.3, f"{name} too short ({dur:.2f}s)"
+        assert peak > 0.05, f"{name} too quiet (peak={peak:.3f})"
+
+print("ALL_DONE")