functional_mu_law_encoding: Mu Law Encoding (functional)
In curso-r/torchaudio: R Interface to 'pytorch''s 'torchaudio'
functional_mu_law_encoding R Documentation
Mu Law Encoding (functional)
Description
Encode signal based on mu-law companding. For more info see
the Wikipedia Entry
Usage
functional_mu_law_encoding(x, quantization_channels)
Arguments
x
(Tensor): Input tensor
quantization_channels
(int): Number of channels
Details
This algorithm assumes the signal has been scaled to between -1 and 1 and
returns a signal encoded with values from 0 to quantization_channels - 1.
Value
tensor: Input after mu-law encoding
curso-r/torchaudio documentation built on May 4, 2023, 2:27 a.m.
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| functional_mu_law_encoding | R Documentation |
Mu Law Encoding (functional)
Description
Encode signal based on mu-law companding. For more info see the Wikipedia Entry
Usage
functional_mu_law_encoding(x, quantization_channels)
Arguments
x |
(Tensor): Input tensor |
quantization_channels |
(int): Number of channels |
Details
This algorithm assumes the signal has been scaled to between -1 and 1 and returns a signal encoded with values from 0 to quantization_channels - 1.
Value
tensor: Input after mu-law encoding
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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