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Explainability for Diarization - JSALT 2023 Team Presentation

Offered By: Center for Language & Speech Processing(CLSP), JHU via YouTube

Tags

Speech Analysis Courses Machine Learning Courses Audio Processing Courses Explainable AI Courses

Course Description

Overview

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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

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