Feature Extraction and Model Estimation for Audio of Human Speech

Provides fast, easy feature extraction of human speech and model estimation with hidden Markov models. Flexible extraction of phonetic features and their derivatives, with necessary preprocessing options like feature standardization. Communication can estimate supervised and unsupervised hidden Markov models with these features, with cross validation and corrections for auto-correlation in features. Methods developed in Knox and Lucas (2021) .


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("communication")

0.1 by Christopher Lucas, 5 months ago


Browse source code at https://github.com/cran/communication


Authors: Dean Knox [aut] , Christopher Lucas [aut, cre] , Guilherme Duarte [ctb] , Alex Shmuley [ctb] , Vineet Bansal [ctb] , Vadym Vashchenko [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports Rcpp, purrr, magrittr, diagram, GGally, grid, useful, ggplot2, reshape2, tuneR, wrassp, gtools, signal, plyr, RColorBrewer, scales, abind, igraph, gtable

Suggests knitr, qpdf, rmarkdown, testthat

Linking to Rcpp, RcppArmadillo


See at CRAN