das.models.kapre.backend

Kapre backend functions

Some backend functions that mainly use numpy.

Functions with Keras’ backend is in backend_keras.py.

Notes

• Don’t forget to use keras.ops.float()! Otherwise numpy uses float64.

• Some functions are copied-and-pasted from librosa (to reduce dependency), but

  later I realised it’d be better to just use it.

• TODO: remove copied code and use librosa.

Functions

eps()
filterbank_log(sr, n_freq[, n_bins, ...])	[np] Approximate a constant-Q filter bank for a fixed-window STFT.
filterbank_mel(sr, n_freq[, n_mels, fmin, ...])	[np]
get_stft_kernels(n_dft)	[np] Return dft kernels for real/imagnary parts assuming
mel(sr, n_dft[, n_mels, fmin, fmax, htk, norm])	[np] create a filterbank matrix to combine stft bins into mel-frequency bins use Slaney (said Librosa)