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

tools/bpm_precise.py

@@ -0,0 +1,62 @@
+#!/usr/bin/env python3
+"""高精度 BPM 实测：onset 包络 + 梳状滤波扫描（分数精度，亚帧分辨率）。
+
+用法: .venv-tts/bin/python tools/bpm_precise.py <audio> [bpm_min] [bpm_max]
+输出 JSON: {"bpm": ..., "score": ..., "harmonics": {...}}
+"""
+import json
+import sys
+
+import librosa
+import numpy as np
+
+path = sys.argv[1]
+bpm_lo = float(sys.argv[2]) if len(sys.argv) > 2 else 70.0
+bpm_hi = float(sys.argv[3]) if len(sys.argv) > 3 else 140.0
+
+y, sr = librosa.load(path, sr=22050, mono=True)
+onset = librosa.onset.onset_strength(y=y, sr=sr)
+onset = onset - onset.mean()
+fps = sr / 512.0  # hop 512
+
+
+def comb_score(bpm):
+    period = fps * 60.0 / bpm
+    n_teeth = int((len(onset) - 1) / period)
+    if n_teeth < 16:
+        return 0.0
+    # 相位扫描取最优
+    best = 0.0
+    for phase in np.linspace(0, period, 24, endpoint=False):
+        idx = np.round(phase + period * np.arange(n_teeth)).astype(int)
+        idx = idx[idx < len(onset)]
+        s = float(onset[idx].sum()) / len(idx)
+        if s > best:
+            best = s
+    return best
+
+
+cands = np.arange(bpm_lo, bpm_hi, 0.05)
+scores = np.array([comb_score(b) for b in cands])
+best_i = int(np.argmax(scores))
+best_bpm = float(cands[best_i])
+
+# 抛物线插值细化
+if 0 < best_i < len(cands) - 1:
+    y0, y1, y2 = scores[best_i - 1], scores[best_i], scores[best_i + 1]
+    denom = (y0 - 2 * y1 + y2)
+    if abs(denom) > 1e-12:
+        best_bpm += 0.05 * 0.5 * (y0 - y2) / denom
+
+harm = {}
+for k, name in ((0.5, "half"), (2.0, "double")):
+    b = best_bpm * k
+    if bpm_lo <= b <= bpm_hi:
+        harm[name] = round(float(scores[np.argmin(np.abs(cands - b))]), 4)
+
+print(json.dumps({
+    "file": path,
+    "bpm": round(best_bpm, 2),
+    "score": round(float(scores[best_i]), 4),
+    "harmonics": harm,
+}))