makeSessionDataSet

makeSessionDataSet: create a data frame for a session (e.g. cookie scene description)

Create adjacency matrices of vocalisation graphs from
dataframes containing sequences of speech and silence intervals,
transforming these matrices into Markov diagrams, and generating
datasets for classification of these diagrams by 'flattening' them
and adding global properties (functionals) etc. Vocalisation
diagrams date back to early work in psychiatry (Jaffe and Feldstein,
1970) and social psychology (Dabbs and Ruback, 1987) but have only
recently been employed as a data representation method for machine
learning tasks including meeting segmentation (Luz, 2012)
<doi:10.1145/2328967.2328970> and classification (Luz,
2013) <doi:10.1145/2522848.2533788>.

Saturnino Luz

vocaldia

Create and Manipulate Vocalisation Diagrams

makeSessionDataSet function

<dl><dt>f</dt>
<dd>CHA file to read</dd>
<dt>sildir</dt>
<dd>directory where silence profiles are stored</dd>
<dt>silsuffix</dt>
<dd>suffix for silence files</dd>
<dt>srdir</dt>
<dd>directory where speech rate csv (1 value per utterance) files are stored</dd>
<dt>srsuffix</dt>
<dd>the suffix of the speech rate files (default: sre)</dd>
<dt>sprate</dt>
<dd>estimate speech rate? (default: TRUE)</dd></dl>

Arguments

Author

makeSessionDataSet: create a data frame for a session (e.g. cookie scene description) based on .cha transcription files — makeSessionDataSet

<dl>

<dt>f</dt>
<dd>CHA file to read</dd>


<dt>sildir</dt>
<dd>directory where silence profiles are stored</dd>


<dt>silsuffix</dt>
<dd>suffix for silence files</dd>


<dt>srdir</dt>
<dd>directory where speech rate csv (1 value per utterance) files are stored</dd>


<dt>srsuffix</dt>
<dd>the suffix of the speech rate files (default: sre)</dd>


<dt>sprate</dt>
<dd>estimate speech rate? (default: TRUE)</dd>

</dl>

makeSessionDataSet: makeSessionDataSet: create a data frame for a session (e.g. cookie scene description) based on .cha transcription files

Description

Usage

Value

Arguments

Author