mag2mfcc
- ketos.audio.utils.misc.mag2mfcc(img, num_fft, rate, num_filters, num_ceps, cep_lifter)[source]
Convert a Magnitude spectrogram to a Mel-frequency cepstrum.
TODO: Check that the formulas used to compute the MFCCs are correct and consistent with those used in librosa: https://librosa.org/doc/main/generated/librosa.feature.mfcc.html#
- Args:
- img: numpy.array
Magnitude spectrogram image, linear axis
- num_fft: int
Number of points used for the FFT.
- rate: float
Sampling rate in Hz.
- num_filters: int
The number of filters in the filter bank.
- num_ceps: int
The number of Mel-frequency cepstrums.
- cep_lifters: int
The number of cepstum filters.
- Returns:
- mfcc: numpy.array
Mel frequency cepstral coefficients