CRAN/E | communication

communication

Feature Extraction and Model Estimation for Audio of Human Speech

Installation

About

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.

Key Metrics

Version 0.1
R ≥ 3.5.0
Published 2021-02-25 1155 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks communication results

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Maintainer

Maintainer

Christopher Lucas

christopher.lucas@wustl.edu

Authors

Dean Knox

aut

Christopher Lucas

aut / cre

Guilherme Duarte

ctb

Alex Shmuley

ctb

Vineet Bansal

ctb

Vadym Vashchenko

ctb

Material

README
Reference manual
Package source

Vignettes

extracting-features

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

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

Suggests

knitr
qpdf
rmarkdown
testthat

LinkingTo

Rcpp
RcppArmadillo ≥ 0.9.700.2.0