Maybe yes, maybe no, but 音量响度 should let to go

2026-07-31 07:24:30 +00:00 · 2026-07-20 20:27:29 +08:00
parent 813ffab782
commit 2804760c03
5 changed files with 1682 additions and 192 deletions
@@ -0,0 +1,82 @@
+import os
+import numpy as np
+import soundfile as sf
+import pyloudnorm as pyln
+
+def analyze_game_sfx(wav_dir: str) -> dict:
+    """
+    批量分析游戏音效的听感响度(LUFS)。
+    对于短音效，优先使用 Momentary Loudness；若文件过短则回退到 K-weighted RMS。
+    """
+    results = {}
+
+    if not os.path.exists(wav_dir):
+        print(f"错误: 目录不存在 -> {wav_dir}")
+        return results
+
+    wav_files = [f for f in os.listdir(wav_dir) if f.lower().endswith('.wav')]
+    print(f"找到 {len(wav_files)} 个 WAV 文件，开始分析...\n")
+
+    for filename in sorted(wav_files):
+        filepath = os.path.join(wav_dir, filename)
+        try:
+            data, sr = sf.read(filepath)
+
+            # 确保为二维数组 (samples, channels)
+            if data.ndim == 1:
+                data = data.reshape(-1, 1)
+
+            duration = len(data) / sr
+
+            # --- 核心响度计算 ---
+            # ITU-R BS.1770 要求至少 ~400ms 才能准确计算 Integrated Loudness
+            # 游戏音效通常很短，我们采用以下策略：
+            meter = pyln.Meter(sr, block_size=duration)  # 400ms block
+
+            # if duration >= 0.4:
+            # 使用 Momentary Loudness (无门限，适合短音效)
+            loudness = meter.integrated_loudness(data)
+            # else:
+            #     # 极短音效：手动 K-weighting 后计算 RMS → 转为 LUFS
+            #     # pyloudnorm 内部有 K-weight filter，这里用简化方式
+            #     filtered = meter._filter_k_weighting(data.T).T
+            #     rms = np.sqrt(np.mean(filtered ** 2))
+            #     # LUFS ≈ -0.691 + 10*log10(rms^2)，参考 BS.1770 公式
+            #     loudness = -0.691 + 10 * np.log10(max(rms ** 2, 1e-12))
+            #     method = "K-weighted RMS"
+
+            # 静音检测
+            if np.max(np.abs(data)) < 1e-6:
+                loudness = -np.inf
+
+            results[filename] = {
+                "loudness_lufs": round(loudness, 2),
+                "duration_sec": round(duration, 4),
+                "sample_rate": sr,
+                "channels": data.shape[1],
+            }
+
+        except Exception as e:
+            results[filename] = {"error": str(e)}
+            print(f"  ⚠ 跳过 {filename}: {e}")
+
+    return results
+
+
+if __name__ == "__main__":
+    TARGET_DIR = "vanilla_assets/wav/"
+    report = analyze_game_sfx(TARGET_DIR)
+
+    # 打印结果字典
+    print("\n===== 分析结果 =====")
+    print("文件名                  | 响度(LUFS) | 时长(s) | 采样率")
+    for name, info in report.items():
+        if "error" in info:
+            print(f"{name}: 错误 - {info['error']}")
+        else:
+            print(f"{name}: {info['loudness_lufs']:>7.2f} LUFS | "
+                  f"{info['duration_sec']:.3f}s | {info['sample_rate']}Hz")
+
+    # 也输出原始字典方便程序化使用
+    print("\n===== Raw Dict =====")
+    print(report)