fft_frequencies() np.fft.fftfreq 的替代实现。 cqt_frequencies() 计算Constant-Q 箱的中心频率。 mel_frequencies() 计算调整到梅尔音阶的声学频率阵列。 tempo_frequencies() 计算对应于起始自相关或临时图矩阵的频率(以每分钟节拍数为单位)。 samples_like() 返回一组样本索引以匹配特征矩阵中的时间轴。 times...
S[k, :] =1.0fornormin[False,True]:forpin[1,2]:# With vanilla frequenciesyield__test, S,None, sr, n_fft, norm, p# With explicit frequenciesfreq = librosa.fft_frequencies(sr=sr, n_fft=n_fft)yield__test, S, freq, sr, n_fft, norm, p# And if we modify the frequenciesfreq =...
estimate its tuning offset(in fractions of a bin) relative to A440=440.0Hz.Parameters---frequencies : array-like, floatA collection of frequencies detected in the signal.See `piptrack`resolution : float in `(0, 1)`Resolution of the tuning as a fraction of a bin.0.01 corresponds...
core.fft_frequencies(sr=sr, n_fft=n_fft) stft = librosa.perceptual_weighting(stft**2, freqs, ref=1.0, amin=1e-10, top_db=99.0) # apply mel filterbank spectrogram = librosa.feature.melspectrogram(S=stft, sr=sr, n_mels=n_mels, fmax=fmax) # keep spectrogram spectrograms.append(np....
win_length=n_fft, hop_length=hop_length, center=True) mag, phase = librosa.core.magphase(C) phase_angle = np.angle(phase) phase_unwrapped = np.unwrap(phase_angle) dphase = phase_unwrapped[:,1:] - phase_unwrapped[:, :-1]
(D)**2)`.clip : boolean- If `True`, clip estimated frequencies to the range `[0, 0.5 * sr]`.- If `False`, estimated frequencies can be negative or exceed`0.5 * sr`.dtype : numeric typeComplex numeric type for `D`. Default is 64-bit complex.mode : stringIf `center=True`, ...
File .../python3.10/site-packages/librosa/feature/spectral.py:15 12 from ..util.exceptions import ParameterError 14 from ..core.convert import fft_frequencies ---> 15 from ..core.audio import zero_crossings 16 from ..core.spectrum import power_to_db, _spectrogram 17 from ..core.constantq...
(F), n_bins)ifnotpad_fft:returneq_(np.mod(np.log2(F.shape[1]),1.0),0.0)# Check for vanishing negative frequenciesF_fft = np.abs(np.fft.fft(F, axis=1))# Normalize by row-wise peakF_fft = F_fft / np.max(F_fft, axis=1, keepdims=True)assertnotnp.any(F_fft[:, -F_fft...
File: testLibrosaCore.py Project: BWalburn/librosa def __test(infile): DATA = load(infile) y, sr = librosa.load(DATA['wavfile'][0], sr=None, mono=True) # Compute the IFgram F, D = librosa.ifgram(y, n_fft = DATA['nfft'][0,0].astype(int), hop_length = DATA['hop_lengt...
librosa.core.db_to_power librosa.core.dtw librosa.core.estimate_tuning librosa.core.fft_frequencies librosa.core.fill_off_diagonal librosa.core.fmt librosa.core.frames_to_samples librosa.core.frames_to_time librosa.core.get_duration librosa.core.hybrid_cqt librosa.core.hz_to_mel librosa.core.hz...