Speech production and perception data collection in R: A tutorial for web-based methods using speechcollectr

Area of Science:

• Speech Science
• Computational Linguistics
• Human-Computer Interaction

Background:

• Speech scientists often require custom interfaces for data collection.
• Existing tools may lack flexibility or be platform-dependent.
• R offers a powerful, open-source environment for data analysis and web applications.

Purpose of the Study:

• To provide a tutorial for R users on constructing speech experiment interfaces.
• To introduce the speechcollectr R package for streamlined web-based speech data collection.
• To demonstrate the development of two sample speech experiments (production and perception).

Main Methods:

• Explanation of reactive programming concepts in R.
• Development of two sample experiments: emotional speech production and perception.
• Introduction and application of the speechcollectr R package for data collection tasks.

Main Results:

• The speechcollectr package simplifies common tasks in speech data collection.
• Functions for participant consent, demographics, audio recording, and stimulus presentation are included.
• The package addresses challenges associated with remote speech data collection.

Conclusions:

• The speechcollectr R package facilitates the creation of web-based speech experiment interfaces in R.
• It enhances the efficiency and accessibility of remote speech data collection for researchers.
• This approach supports robust and reproducible speech science research.