Explainability for Diarization - JSALT 2023 Team Presentation
Center for Language & Speech Processing(CLSP), JHU via YouTube
Overview
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Watch a comprehensive conference presentation from the JSALT 2023 workshop focusing on explainability for diarization, delivered by Marie Tahon. This nearly 3-hour talk, hosted by the Center for Language & Speech Processing (CLSP) at Johns Hopkins University, is part of the 30th edition of the JSALT workshop held in Le Mans, France. Gain insights into cutting-edge research on making speaker diarization systems more interpretable and explainable. Explore the intersection of speech processing and artificial intelligence as Tahon delves into methods for understanding and explaining the decision-making processes in diarization algorithms. Learn about the latest advancements in this field and their potential applications in various domains of speech technology.
Syllabus
JSALT 2023 team presentation: Explainability for diarization (Marie Tahon)
Taught by
Center for Language & Speech Processing(CLSP), JHU