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communication  

Feature Extraction and Model Estimation for Audio of Human Speech
View on CRAN: Click here


Download and install communication package within the R console
Install from CRAN:
install.packages("communication")

Install from Github:
library("remotes")
install_github("cran/communication")

Install by package version:
library("remotes")
install_version("communication", "0.1")



Attach the package and use:
library("communication")
Maintained by
Christopher Lucas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-25
Latest Update: 2021-02-25
Description:
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) .
How to cite:
Christopher Lucas (2021). communication: Feature Extraction and Model Estimation for Audio of Human Speech. R package version 0.1, https://cran.r-project.org/web/packages/communication. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:27), 0.1 (2021-02-25 10:20)
Other packages that cited communication R package
View communication citation profile
Other R packages that communication depends, imports, suggests or enhances
Complete documentation for communication
Functions, R codes and Examples using the communication R package
Some associated functions: audio . extractAudioFeatures . hmm . llh . standardizeFeatures . 
Some associated R codes: RcppExports.R . audio.R . extractAudioFeatures.R . hmm.R . llh.R . standardizeFeatures.R .  Full communication package functions and examples
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