ISCA - International Speech
Communication Association


ISCA Fellows 2025

2025-04-23 10:33 | Anonymous member (Administrator)

The following colleagues have been elected to ISCA Fellowships. Congratulations to them!

This year the competition was strong: the Fellows Selection Committee had to choose 8 from 13.

ISCA Fellows 2025


Nancy Chen

I2R (Institute for Infocomm Research), A*STAR, Singapore

For significant contributions and technical leadership in   multilingual speech processing, multimodal human-machine communication, and AI technology deployment.

 

Alex Cristia

Laboratoire de Sciences Cognitives et Psycholinguistique, Département d’études cognitives, ENS, EHESS, CNRS, PSL University, Paris

For outstanding contributions to cross-cultural studies of language acquisition and transformative practices to support inclusive and open science.


Emmanuel Dupoux


Laboratoire de Sciences Cognitives et Psycholinguistique, EHESS-ENS- CNRS & META FAIR, Paris.

For multidisciplinary contributions to the study of language acquisition by humans and machines.

 

Sanjeev Khundapur


JHU Baltimore MD USA

For contributions to neural-language-models and acoustic modeling for speech recognition, and for leadership in fostering a vibrant speech research community.


Hung-yi Lee


National Taiwan University

For pioneering contributions to speech self-supervised learning (SSL) and establishing community benchmarks for evaluating speech SSL technologies.


Thomas Quatieri


MIT Lincoln Laboratory, Lexington, MA USA

For contributions to speech signal processing, speech motor control and vocal biomarkers discovery and their applications in health

 

Jan van Santen


Oregon Health & Science University, Portland, OR

For his outstanding contribution in the field of spoken language understanding, focusing on mathematical modeling of prosody, signal processing, and computational  linguistics. 


Kai Yu

Shanghai Jiao Tong University

For contributions to speech recognition, spoken dialogue systems and real-world deployment of spoken language technology.

 


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