The 'fastai' <https://docs.fast.ai/index.html> library
simplifies training fast and accurate neural networks
using modern best practices. It is based on research
in to deep learning best practices undertaken
at 'fast.ai', including 'out of the box' support
for vision, text, tabular, audio, time series, and
collaborative filtering models.

Interface to 'fastai'

package-ubuntu-20.04-r-4.0.5#cran#fastai-2.0.7

Creates an audio tensor and run the basic preprocessing transforms on it.

PreprocessAudio(sample_rate = 16000, force_mono = TRUE, crop_signal_to = NULL)

<table summary="R argblock">
<tr valign="top">
<td><code>sample_rate</code></td>
<td>
sample rate
</td>
</tr>
<tr valign="top">
<td><code>force_mono</code></td>
<td>
force mono or not
</td>
</tr>
<tr valign="top">
<td><code>crop_signal_to</code></td>
<td>
int, crop signal
</td>
</tr>
</table>

Used while preprocessing the audios, this is not a 'Transform'.

package-ubuntu-20.04-r-4.0.5#cran#fastai-2.0.7#docs#PreprocessAudio

PreprocessAudio

Description

Usage

Arguments

Details

Value

fastai

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`sample_rate`	sample rate
`force_mono`	force mono or not
`crop_signal_to`	int, crop signal