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.
- Version0.1
- R version≥ 3.5.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release02/25/2021
Documentation
Team
Christopher Lucas
Vineet Bansal
Show author detailsRolesContributorDean Knox
Show author detailsRolesAuthorGuilherme Duarte
Show author detailsRolesContributorAlex Shmuley
Show author detailsRolesContributorVadym Vashchenko
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 183 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,450 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 23, 2024 with 32 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
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Dependencies
- Imports18 packages
- Suggests4 packages
- Linking To2 packages