nnAudio.librosa_functions¶

Module containing functions cloned from librosa

To make sure nnAudio would not become broken when updating librosa

Functions

`chroma`	Create a chroma filter bank.
`fft2gammatonemx`	# Ellis’ description in MATLAB: # [wts,cfreqa] = fft2gammatonemx(nfft, sr, nfilts, width, minfreq, maxfreq, maxlen) # Generate a matrix of weights to combine FFT bins into # Gammatone bins.
`fft_frequencies`	Alternative implementation of np.fft.fftfreq :param sr: Audio sampling rate :type sr: number > 0 [scalar] :param n_fft: FFT window size :type n_fft: int > 0 [scalar]
`get_gammatone`	Create a Filterbank matrix to combine FFT bins into Gammatone bins :param sr: sampling rate of the incoming signal :type sr: number > 0 [scalar] :param n_fft: number of FFT components :type n_fft: int > 0 [scalar] :param n_bins: number of Mel bands to generate :type n_bins: int > 0 [scalar] :param fmin: lowest frequency (in Hz) :type fmin: float >= 0 [scalar] :param fmax: highest frequency (in Hz). If None, use fmax = sr / 2.0 :type fmax: float >= 0 [scalar] :param htk: use HTK formula instead of Slaney :type htk: bool [scalar] :param norm: if 1, divide the triangular mel weights by the width of the mel band (area normalization). Otherwise, leave all the triangles aiming for a peak value of 1.0 :type norm: {None, 1, np.inf} [scalar] :param dtype: The data type of the output basis. By default, uses 32-bit (single-precision) floating point. :type dtype: np.dtype.
`get_mel`	This function is cloned from librosa 0.7.
`hz_to_mel`	Convert Hz to Mels .
`hz_to_octs`	Convert frequencies (Hz) to (fractional) octave numbers.
`mel_frequencies`	This function is cloned from librosa 0.7.
`mel_to_hz`	Convert mel bin numbers to frequencies .
`normalize`	Normalize an array along a chosen axis.
`pad_center`	Wrapper for np.pad to automatically center an array prior to padding.
`tiny`	Compute the tiny-value corresponding to an input’s data type.