Package: communication 0.1
Christopher Lucas
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>.
Authors:
communication_0.1.tar.gz
communication_0.1.tar.gz(r-4.5-noble)communication_0.1.tar.gz(r-4.4-noble)
communication_0.1.tgz(r-4.4-emscripten)communication_0.1.tgz(r-4.3-emscripten)
communication.pdf |communication.html✨
communication/json (API)
| # Install 'communication' in R: |
| install.packages('communication', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:3619bcd7ec. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 22 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 22 2024 |
Exports:extractAudioFeatureshmmllhstandardizeFeatures
Dependencies:abindassertthatclicolorspacecpp11crayondiagramdplyrfansifarverforcatsgenericsGGallyggplot2ggstatsgluegtablegtoolshmsigraphisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepatchworkpillarpkgconfigplyrprettyunitsprogresspurrrR6RColorBrewerRcppRcppArmadilloreshape2rlangscalesshapesignalstringistringrtibbletidyrtidyselecttuneRusefulutf8vctrsviridisLitewithrwrassp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Audio features from Stephen Breyer | audio |
| Title | extractAudioFeatures |
| Train a hidden Markov model with multivariate normal state distributions. | hmm |
| Title | llh |
| Title | standardizeFeatures |
