all AI news
Vers la compr\'ehension automatique de la parole bout-en-bout \`a moindre effort. (arXiv:2207.00349v1 [cs.CL])
July 4, 2022, 1:12 a.m. | Marco Naguib, François Portet, Marco Dinarelli
cs.CL updates on arXiv.org arxiv.org
Recent advances in spoken language understanding benefited from
Self-Supervised models trained on large speech corpora. For French, the
LeBenchmark project has made such models available and has led to impressive
progress on several tasks including spoken language understanding. These
advances have a non-negligible cost in terms of computation time and energy
consumption. In this paper, we compare several learning strategies aiming at
reducing such cost while keeping competitive performances. The experiments are
performed on the MEDIA corpus, and show that …
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Senior Software Engineer, Generative AI (C++)
@ SoundHound Inc. | Toronto, Canada