senselab

Cross-funded by the Child Mind Institute, NIH Bridge2AI-Voice (OT2 OD032720), the Simons Foundation (SAILS), the MIT Generative AI Consortium (Riverst / KIVA), the ICON Center at the McGovern Institute (MIT), and the ReadNet project.

Research software toolkit for voice / speech / behavioral analysis and biomarker identification. "Streamlines, optimizes, and enforces best open-science practices for processing and analyzing behavioral data (primarily voice and speech, but also text and video) using robust, reproducible pipelines and utilities." Used by the Bridge2AI-Voice and Riverst / KIVA stacks.

reproducibility-tooling
speech-voice-biomarkers

Resources

Contributors

Current

Jordan Wilke
Satrajit S Ghosh

Former

Bruke Wossenseged
Fabio Catania
Gasser Elbanna
Isaac Bevers
Miles Silva

Edit this project in src/data/projects.yml. Add a paper in src/data/publications.yml and tag it with the project slug. See PROJECTS.md for conventions.

senselab

Links

Contributors