espnet2.gan_svs.visinger2.visinger2_vocoder.create_fb_matrix

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espnet2.gan_svs.visinger2.visinger2_vocoder.create_fb_matrix(n_freqs: int, f_min: float, f_max: float, n_mels: int, sample_rate: int, norm: str | None = None) → Tensor

Create a frequency bin conversion matrix.

• Parameters:
  • n_freqs (int) – Number of frequencies to highlight/apply
  • f_min (float) – Minimum frequency (Hz)
  • f_max (float) – Maximum frequency (Hz)
  • n_mels (int) – Number of mel filterbanks
  • sample_rate (int) – Sample rate of the audio waveform
  • norm (Optional *[*str ]) – If ‘slaney’,
  • band (divide the triangular mel weights by the width of the mel)
  • **(**Default ( *(*area normalization ) .) – None)
• Returns: Triangular filter banks (fb matrix) of size (n_freqs, n_mels) meaning number of frequencies to highlight/apply to x the number of filterbanks. Each column is a filterbank so that assuming there is a matrix A of size (…, n_freqs), the applied result would be A * create_fb_matrix(A.size(-1), …).
• Return type: Tensor