communication: 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) <doi:10.7910/DVN.8BTOHQ>.

Package details

AuthorDean Knox [aut], Christopher Lucas [aut, cre], Guilherme Duarte [ctb], Alex Shmuley [ctb], Vineet Bansal [ctb], Vadym Vashchenko [ctb]
MaintainerChristopher Lucas <christopher.lucas@wustl.edu>
LicenseGPL (>= 2)
Version0.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("communication")

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communication documentation built on Feb. 25, 2021, 5:08 p.m.