preprocess

Automatically preprocesses a list of Wave objects by normalizing their amplitude and removing background noise.

Simplifies and largely automates practical voice analytics for social science research. This package offers an accessible and easy-to-use interface, including an interactive Shiny app, that simplifies the processing, extraction, analysis, and reporting of voice recording data in the behavioral and social sciences. The package includes batch processing capabilities to read and analyze multiple voice files in parallel, automates the extraction of key vocal features for further analysis, and automatically generates APA formatted reports for typical between-group comparisons in experimental social science research. A more extensive methodological introduction that inspired the development of the 'voiceR' package is provided in Hildebrand et al. 2020 <doi:10.1016/j.jbusres.2020.09.020>.

Francesc Busquet

voiceR

Voice Analytics for Social Scientists

Christian Hildebrand

preprocess function

<dl><dt>audioList</dt>
<dd>A list of Wave objects.</dd>
<dt>normalizeAmplitude</dt>
<dd>A logical value indicating whether to normalize amplitude.</dd>
<dt>removeNoise</dt>
<dd>A logical value indicating whether to remove background noise.</dd>
<dt>...</dt>
<dd>Other options used to control preprocessing behavior.</dd></dl>

Arguments

Preprocess list of Audio objects — preprocess

<dl>

<dt>audioList</dt>
<dd>A list of Wave objects.</dd>


<dt>normalizeAmplitude</dt>
<dd>A logical value indicating whether to normalize amplitude.</dd>


<dt>removeNoise</dt>
<dd>A logical value indicating whether to remove background noise.</dd>


<dt>...</dt>
<dd>Other options used to control preprocessing behavior.</dd>

</dl>

preprocess: Preprocess list of Audio objects

Description

Usage

Value

Arguments

Examples