functional_dither: Dither (functional)
In torchaudio: R Interface to 'pytorch''s 'torchaudio'

functional_dither

R Documentation

Dither (functional)

Description

Dither increases the perceived dynamic range of audio stored at a particular bit-depth by eliminating nonlinear truncation distortion (i.e. adding minimally perceived noise to mask distortion caused by quantization).

Usage

functional_dither(waveform, density_function = "TPDF", noise_shaping = FALSE)

Arguments

`waveform`	(Tensor): Tensor of audio of dimension (..., time)
`density_function`	(str, optional): The density function of a continuous random variable (Default: `"TPDF"`) Options: Triangular Probability Density Function - `TPDF` Rectangular Probability Density Function - `RPDF` Gaussian Probability Density Function - `GPDF`
`noise_shaping`	(bool, optional): a filtering process that shapes the spectral energy of quantisation error (Default: `FALSE`)