getSyllablesAndSilences

getSyllablesAndSilences: process Praat's grid for syllable nuclei, based on De Jong's approach

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

getSyllablesAndSilences function

<dl><dt>txtgrid</dt>
<dd>Path to Praat grid file generated by praat-syllable-syllable-nuclei-v2</dd></dl>

Arguments

Author

getSyllablesAndSilences: process Praat's grid for syllable nuclei — getSyllablesAndSilences

<dl>

<dt>txtgrid</dt>
<dd>Path to Praat grid file generated by praat-syllable-syllable-nuclei-v2</dd>

</dl>

getSyllablesAndSilences: getSyllablesAndSilences: process Praat's grid for syllable nuclei

Description

Usage

Value

Arguments

Author

References