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

Build a 'AudioBlock' from a 'path' and caches some intermediary results

AudioBlock_from_folder(
  path,
  sample_rate = 16000,
  force_mono = TRUE,
  crop_signal_to = NULL
)

<table summary="R argblock">
<tr valign="top">
<td><code>path</code></td>
<td>
directory, path
</td>
</tr>
<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>

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

AudioBlock_from_folder

Description

Usage

Arguments

Value

fastai

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