Contributors

On this page

1. Funding
2. Technological tools

Funding

Funding for the original data collection was provided by:

• Berkman Fund at Carnegie Mellon University
• Department of English, Carnegie Mellon University
• Department of Linguistics, University of Pittsburgh
• National Science Foundation (Collaborative Research awards BCS-0417657 and BCS-0417684)

Funding and resources for the Archive of Pittsburgh Language and Speech was/is provided by:

• Office of Research (via Pitt Momentum Funds), University of Pittsburgh
• Center for Research Computing, University of Pittsburgh
• New Zealand Institute of Language, Brain, and Behaviour, University of Canterbury

Technological tools

https://lingmethodshub.github.io/content/python/speaker-diarization-for-linguistics/