transform_timemasking

Apply masking to a spectrogram in the time domain.

Provides access to datasets, models and processing
facilities for deep learning in audio.

Sigrid Keydana

torchaudio

R Interface to 'pytorch''s 'torchaudio'

Athos Damiani

Daniel Falbel

transform_timemasking function

<dl><dt>time_mask_param</dt>
<dd>(int): maximum possible length of the mask.
Indices uniformly sampled from [0, time_mask_param).</dd>
<dt>iid_masks</dt>
<dd>(bool, optional): whether to apply different masks to each
example/channel in the batch. (Default: <code>FALSE</code>)
This option is applicable only when the input tensor is 4D.</dd></dl>

Arguments

Time-domain Masking — transform_timemasking

<dl>

<dt>time_mask_param</dt>
<dd>(int): maximum possible length of the mask.
Indices uniformly sampled from [0, time_mask_param).</dd>


<dt>iid_masks</dt>
<dd>(bool, optional): whether to apply different masks to each
example/channel in the batch. (Default: <code>FALSE</code>)
This option is applicable only when the input tensor is 4D.</dd>

</dl>

transform_timemasking: Time-domain Masking

Description

Usage

Value

Arguments