Eva Maxfield Brown on Speakerbox – Open Source Speaker Identification for Political Science

#1: In the first episode of Open Source for Researchers, hosts Arfon and Abby sit down with Eva Maxfield Brown to discuss Speakerbox, an open source speaker identification tool.

Originally part of the Council Data Project, Speakerbox was used to train models to identify city council members speaking in transcripts, starting with cities like Seattle. Speakerbox can run on your laptop, making this a cost-effective solution for many civic hackers, citizen scientists, and now .. podcasters!

From the advantages of fine-tuning pre-trianed models for personalized speaker identification to the concept of few-shot learning, Eva walks us through her solution. Want to know how this open source project came to life? Tune in to hear about Eva's journey with Speakerbox and publishing in JOSS!

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Supercharge your research with the latest scientific software showcased in the Journal of Open Source Software (JOSS). Hear directly from authors on their work, their motivations, and new ways open source software can accelerate your work.

Hosted by editor-in-chief Arfon Smith and founding editor Abby Cabunoc Mayes, each episode features an interview with different authors of published papers in JOSS. Tune in to learn about the latest developments in research software engineering and open science, and how they are changing the way research is conducted.

New episodes every other Thursday.