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Keynote Speakers

Juan Pablo Bello
New York University

Bio: Juan Pablo Bello is a Professor of Music Technology, Computer Science & Engineering, Electrical & Computer Engineering, and Urban Science at New York University. In 1998 he received a BEng in Electronics from the Universidad Simón Bolívar in Caracas, Venezuela, and in 2003 he earned a doctorate in Electronic Engineering at Queen Mary, University of London. Juan’s expertise is in machine listening, audio signal processing, and music information retrieval. He has published close to 200 papers and articles in books, journals and conference proceedings. Since 2016, he is the director of the Music and Audio Research Lab (MARL), a multidisciplinary research center at the intersection of science, technology, music and sound. Between 2019-2022 He was also the director of the NYU Center for Urban Science and Progress (CUSP). A fellow of the IEEE and a Fulbright scholar, his work has been supported by public and private institutions in Venezuela, the UK, and the US, including Frontier and CAREER awards from the National Science Foundation. 

Alexandre Défossez
Alexandre Défossez
Kyutai

Bio: Alexandre is a co-founder at Kyutai, a non profit lab for research in artificial intelligence based in Paris. Kyutai’s mission is to lead bleeding edge research and to make it accessible through open science and open source. We released the speech-to-speech conversational AI Moshi, and recently Hibiki, the first simultaneous speech translation model that can run on a phone. Before that, Alexandre was a scientist for 3 years at Facebook AI Research in Paris, where he led the development of models for audio compression and modeling (AudioCraft, MusicGen, EnCodec). He graduated in mathematics from École Normale Supérieure, and did his PhD between INRIA and FAIR Paris on music source separation.

Karen Livescu
TTI-Chicago

Bio: Karen Livescu is a Professor at TTI-Chicago.  She completed her PhD in electrical engineering and computer science at MIT in 2005 and her bachelor’s degree in physics at Princeton University. She is a Fellow of the IEEE and ISCA.  She has served as a program chair/co-chair for ICLR, Interspeech, and ASRU, and as an Associate Editor for TACL, IEEE T-PAMI, IEEE T-ASLP, and others.  Her group’s work spans a variety of topics in spoken, written, and signed language processing, with a particular interest in representation learning, cross-modality learning, and low-resource settings.