Module spectral

Enums§

SpectralError: Custom error types for spectral signal processing operations.

chroma_cens: Computes Chroma Energy Normalized Statistics (CENS) features.
chroma_cqt: Computes chroma features using Constant-Q Transform (CQT).
chroma_stft: Computes chroma features using Short-Time Fourier Transform (STFT).
cmvn: Applies cepstral mean and variance normalization (CMVN).
formant_frequencies: Estimates formant frequencies using LPC.
hpss: Performs Harmonic-Percussive Source Separation (HPSS).
melspectrogram: Computes a mel spectrogram.
mfcc: Computes Mel-frequency cepstral coefficients (MFCCs).
pitch_autocorr: Estimates pitch using autocorrelation.
pitch_chroma: Computes pitch chroma features.
poly_features: Computes polynomial fit coefficients for spectral features.
rms: Computes root mean square (RMS) energy.
spectral_bandwidth: Computes spectral bandwidth.
spectral_centroid: Computes spectral centroid frequencies.
spectral_contrast: Computes spectral contrast across frequency bands.
spectral_entropy: Computes spectral entropy.
spectral_flatness: Computes spectral flatness.
spectral_flux: Computes spectral flux.
spectral_rolloff: Computes spectral roll-off frequency.
spectral_subband_centroids: Computes spectral subband centroids.
tonnetz: Computes Tonnetz features from chroma.
vad_features: Computes features for voice activity detection (VAD).