Self-Supervised Language Learning From Raw Audio: Lessons From the Zero Resource Speech Challenge
Author:
Affiliation:
1. Department of French, University of Toronto, Toronto, ON, Canada
2. École Normale Supérieure, Paris, France
3. École des Hautes Études en Sciences Sociales, Paris, France
Funder
Connaught Fund
Arts and Science Bridging Fund
University of Toronto
Natural Sciences and Engineering Research Council of Canada
ANR
PRAIRIE 3IA Institute
Meta AI Research Gift
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/4200690/9923627/09888095.pdf?arnumber=9888095
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2. Salt: Distinguishable Speaker Anonymization Through Latent Space Transformation;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
3. Audio-Visual Neural Syntax Acquisition;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16
4. Word segmentation from transcriptions of child-directed speech using lexical and sub-lexical cues;Journal of Child Language;2023-09-12
5. Simultaneous or Sequential Training? How Speech Representations Cooperate in a Multi-Task Self-Supervised Learning System*;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04
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