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| import numpy as np | |
| NOTE_NAMES = ["C", "C#", "D", "D#", "E", "F", "F#", "G", "G#", "A", "A#", "B"] | |
| MAJOR_PROFILE = np.array([6.35, 2.23, 3.48, 2.33, 4.38, 4.09, 2.52, 5.19, 2.39, 3.66, 2.29, 2.88]) | |
| MINOR_PROFILE = np.array([6.33, 2.68, 3.52, 5.38, 2.60, 3.53, 2.54, 4.75, 3.98, 2.69, 3.34, 3.17]) | |
| def detect_key(chroma: np.ndarray) -> tuple[str, str, float]: | |
| """Krumhansl-Schmuckler: return (root, mode, confidence 0-1).""" | |
| best_corr, best_root, best_mode = -np.inf, "C", "major" | |
| for i, note in enumerate(NOTE_NAMES): | |
| for profile, mode in ((MAJOR_PROFILE, "major"), (MINOR_PROFILE, "minor")): | |
| corr = float(np.corrcoef(chroma, np.roll(profile, i))[0, 1]) | |
| if corr > best_corr: | |
| best_corr, best_root, best_mode = corr, note, mode | |
| return best_root, best_mode, round((best_corr + 1.0) / 2.0, 4) | |