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voiceR  

Voice Analytics for Social Scientists
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("voiceR", "0.1.0")



Attach the package and use:
library("voiceR")
Maintained by
Francesc Busquet
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-09-12
Latest Update: 2023-09-12
Description:
Simplifies and largely automates practical voice analytics for social science research. This package offers an accessible and easy-to-use interface, including an interactive Shiny app, that simplifies the processing, extraction, analysis, and reporting of voice recording data in the behavioral and social sciences. The package includes batch processing capabilities to read and analyze multiple voice files in parallel, automates the extraction of key vocal features for further analysis, and automatically generates APA formatted reports for typical between-group comparisons in experimental social science research. A more extensive methodological introduction that inspired the development of the 'voiceR' package is provided in Hildebrand et al. 2020 <doi:10.1016/j.jbusres.2020.09.020>.
How to cite:
Francesc Busquet (2023). voiceR: Voice Analytics for Social Scientists. R package version 0.1.0, https://cran.r-project.org/web/packages/voiceR. Accessed 05 Mar. 2026.
Previous versions and publish date:
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Complete documentation for voiceR
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