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