librosax.feature¶

Feature extraction¶

Spectral features¶

`spectral_centroid`(*[, y, sr, S, n_fft, ...])	Compute the spectral centroid.
`spectral_bandwidth`(*[, y, sr, S, n_fft, ...])	Compute p'th-order spectral bandwidth.
`spectral_rolloff`(*[, y, sr, S, n_fft, ...])	Compute roll-off frequency.
`spectral_flatness`(*[, y, S, n_fft, ...])	Compute spectral flatness.
`spectral_contrast`(*[, y, sr, S, n_fft, ...])	Compute spectral contrast.
`rms`(*, y, S, frame_length, hop_length, ...)	Compute root-mean-square (RMS) value for each frame.
`zero_crossing_rate`(y, *[, frame_length, ...])	Compute the zero-crossing rate of an audio time series.

Mel-frequency representations¶

`melspectrogram`(*, y, sr, S, n_fft, ...)	Compute a mel-scaled spectrogram.
`mfcc`(*[, y, sr, S, n_mfcc, dct_type, norm, ...])	Compute Mel-frequency cepstral coefficients (MFCCs).

Chromagram¶

`chroma_stft`(*[, y, sr, S, norm, n_fft, ...])	Compute a chromagram from a power spectrogram or waveform.
`chroma_cqt`(*[, y, sr, C, hop_length, fmin, ...])	Chromagram from a constant-Q transform.
`chroma_filter`(*, sr, n_fft[, n_chroma, ...])	Create a chroma filter bank.

Constant-Q transform¶

`cqt`(y, *, sr, hop_length, fmin, n_bins, ...)	Compute the constant-Q transform following nnAudio's CQT1992v2 implementation.
`cqt2010`(y, *, sr, hop_length, fmin, fmax, ...)	Compute constant-Q transform using the 2010 algorithm with multi-resolution.
`cqt_frequencies`(*[, n_bins, ...])	Compute the center frequencies of Constant-Q bins.

Rhythm features¶

`tempogram`(*[, y, sr, onset_envelope, ...])	Compute the tempogram: local autocorrelation of the onset strength envelope.
`fourier_tempogram`(*[, y, sr, ...])	Compute the Fourier tempogram: Fourier transform of the onset strength envelope.
`hybrid_tempogram`(*[, y, sr, onset_envelope, ...])	Compute a hybrid tempogram.
`metrogram`(*, tg, freqs, factors, aggregate, ...)	Summarize the presence of rhythmic ratios in a tempogram.
`tempogram_ratio`(*[, y, sr, onset_envelope, ...])	Compute tempogram ratio: the ratio of absolute energy in tempo harmonics.
`tempo`(*[, y, sr, onset_envelope, ...])	Estimate the tempo (beats per minute) from an audio signal.

Tonal features¶

tonnetz(*[, y, sr, chroma])

Compute the tonal centroid features (tonnetz).

Pitch and frequency¶

`hz_to_octs`(frequencies, *[, tuning, ...])	Convert frequencies (Hz) to octave numbers.
`note_to_hz`(...)	Convert one or more note names to frequency (Hz).