Voice Analytics for Social Scientists
Automatically analyze audio files
Generate a Summary Report
Create boxplots for extracted audio features
Create an Empty data.frame
Get Components Name and Positions
Get Conditions
Get Dimensions
Get IDs
What IDs have missing dimensions?
Normality Plots
Normalize audio data using Box-Cox transformation
Preprocess list of Audio objects
Read Audio Files
Save Audio Files
Create a Table of ANOVA results
Create a Table for the results of a Dunn's test
Create a table for Kruskal-Wallis test results
Create a table for Shapiro Wilk results
Create a table for the Scheirer-Ray-Hare test results
Create a table for simple main effects analysis
Create a summary table
Create a table for Tukey HSD test results
Start voiceR Shiny App
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>.