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BA-LR: Towards an Interpretable and Explainable Approach for Speaker Recognition

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

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Course Description

Overview

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Explore an in-depth conference talk on interpretable and explainable approaches for speaker recognition presented by Imen Ben Amor from the Center for Language & Speech Processing (CLSP) at Johns Hopkins University. Delivered as part of the JSALT 2023 workshop held in Le Mans, France, this 75-minute presentation delves into the BA-LR methodology, aiming to enhance understanding and transparency in speaker recognition systems. Gain insights into cutting-edge research that bridges the gap between complex machine learning models and human-interpretable results in the field of speech processing.

Syllabus

BA-LR: Towards an interpretable and explainable approach for speaker recognition -- Imen Ben Amor


Taught by

Center for Language & Speech Processing(CLSP), JHU

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