Rimita Lahiri — accepted AI-conference papers

2023

A Context-Aware Computational Approach for Measuring Vocal Entrainment in Dyadic Conversations

Rimita Lahiri, Md. Nasir, Catherine Lord, So Hyun Kim, Shrikanth Narayanan

ICASSP 2023accepted

Vocal entrainment is a social adaptation mechanism in human interaction, knowledge of which can offer useful insights to an individual’s cognitive-behavioral characteristics. We propose a context-aware approach for measuring vocal entrainment in dyadic conversations. We use conformers (a combination…

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2020

Learning Domain Invariant Representations for Child-Adult Classification from Speech

Rimita Lahiri, Manoj Kumar, Somer Bishop, Shrikanth Narayanan

ICASSP 2020accepted

Diagnostic procedures for ASD (autism spectrum disorder) involve semi-naturalistic interactions between the child and a clinician. Computational methods to analyze these sessions require an end-to-end speech and language processing pipeline that goes from raw audio to clinically-meaningful behaviora…

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