vocaldia: Create and Manipulate Vocalisation Diagrams

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>.

Version: 0.8.3
Depends: R (≥ 3.0.0)
Imports: graphics, stats, utils
Suggests: igraph, foreign
Published: 2020-05-08
Author: Saturnino Luz [aut, cre]
Maintainer: Saturnino Luz <luzs at acm.org>
BugReports: https://git.ecdf.ed.ac.uk/sluzfil/vocaldia/issues
License: GPL-3
URL: https://git.ecdf.ed.ac.uk/sluzfil/vocaldia
NeedsCompilation: no
Materials: README NEWS
CRAN checks: vocaldia results

Documentation:

Reference manual: vocaldia.pdf

Downloads:

Package source: vocaldia_0.8.3.tar.gz
Windows binaries: r-devel: vocaldia_0.8.3.zip, r-release: vocaldia_0.8.3.zip, r-oldrel: vocaldia_0.8.3.zip
macOS binaries: r-release (arm64): vocaldia_0.8.3.tgz, r-release (x86_64): vocaldia_0.8.3.tgz, r-oldrel: vocaldia_0.8.3.tgz
Old sources: vocaldia archive

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