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) <doi:10.7910/DVN.8BTOHQ>.
Version: 0.1 Depends: R (≥ 3.5.0) Imports: Rcpp (≥ 1.0.2), purrr, magrittr, diagram, GGally, grid, useful, ggplot2, reshape2, tuneR, wrassp, gtools, signal, plyr, RColorBrewer, scales, abind, igraph, gtable LinkingTo: Rcpp, RcppArmadillo (≥ 0.9.700.2.0) Suggests: knitr, qpdf, rmarkdown, testthat Published: 2021-02-25 DOI: 10.32614/CRAN.package.communication Author: Dean Knox [aut], Christopher Lucas [aut, cre], Guilherme Duarte [ctb], Alex Shmuley [ctb], Vineet Bansal [ctb], Vadym Vashchenko [ctb] Maintainer: Christopher Lucas <christopher.lucas at wustl.edu> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes Materials: README CRAN checks: communication resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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