functional_create_fb_matrix: Frequency Bin Conversion Matrix (functional)

In curso-r/torchaudio: R Interface to 'pytorch''s 'torchaudio'

Frequency Bin Conversion Matrix (functional)

Description

Create a frequency bin conversion matrix.

Usage

functional_create_fb_matrix(
  n_freqs,
  f_min,
  f_max,
  n_mels,
  sample_rate,
  norm = NULL
)

Arguments

n_freqs	(int): Number of frequencies to highlight/apply
f_min	(float): Minimum frequency (Hz)
f_max	(float or NULL): Maximum frequency (Hz). If NULL defaults to sample_rate %/% 2
n_mels	(int): Number of mel filterbanks
sample_rate	(int): Sample rate of the audio waveform
norm	(chr) (Optional): If 'slaney', divide the triangular mel weights by the width of the mel band (area normalization). (Default: NULL)

Value

tensor: 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 * functional_create_fb_matrix(A.size(-1), ...).

curso-r/torchaudio documentation built on May 4, 2023, 2:27 a.m.