transform_timemasking: Time-domain Masking
In curso-r/torchaudio: R Interface to 'pytorch''s 'torchaudio'
transform_timemasking R Documentation
Time-domain Masking
Description
Apply masking to a spectrogram in the time domain.
Usage
transform_timemasking(time_mask_param, iid_masks)
Arguments
time_mask_param
(int): maximum possible length of the mask.
Indices uniformly sampled from [0, time_mask_param).
iid_masks
(bool, optional): whether to apply different masks to each
example/channel in the batch. (Default: FALSE)
This option is applicable only when the input tensor is 4D.
Value
not implemented yet.
curso-r/torchaudio documentation built on May 4, 2023, 2:27 a.m.
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| transform_timemasking | R Documentation |
Time-domain Masking
Description
Apply masking to a spectrogram in the time domain.
Usage
transform_timemasking(time_mask_param, iid_masks)
Arguments
time_mask_param |
(int): maximum possible length of the mask. Indices uniformly sampled from [0, time_mask_param). |
iid_masks |
(bool, optional): whether to apply different masks to each
example/channel in the batch. (Default: |
Value
not implemented yet.
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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