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Brouhaha: Multi-Task Training for Voice Activity Detection, Speech-to-Noise Ratio, and C50 Room Acoustics Estimation.

M. Lavechin, M. Métais, H. Titeux, A. Boissonnet, J. Copet, M. Rivière, E. Bergelson, A. Cristià, E. Dupoux, and H. Bredin. ASRU, page 1-7. IEEE, (2023)

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Klaus Jäde

Susanne Jäde

Kathrin Jäde

Carlo Alberto Copetti

Paul Jäde

Other publications of authors with the same name

Textless Speech Emotion Conversion using Decomposed and Discrete Representations.F. Kreuk, A. Polyak, J. Copet, E. Kharitonov, T. Nguyen, M. Rivière, W. Hsu, A. Mohamed, E. Dupoux, and Y. Adi. CoRR, (2021)Low-Resource Self-Supervised Learning with SSL-Enhanced TTS.P. Hsu, A. Elkahky, W. Hsu, Y. Adi, T. Nguyen, J. Copet, E. Dupoux, H. yi Lee, and A. Mohamed. CoRR, (2023)Textually Pretrained Speech Language Models.M. Hassid, T. Remez, T. Nguyen, I. Gat, A. Conneau, F. Kreuk, J. Copet, A. Défossez, G. Synnaeve, E. Dupoux and 2 other author(s). CoRR, (2023)Text-Free Prosody-Aware Generative Spoken Language Modeling.E. Kharitonov, A. Lee, A. Polyak, Y. Adi, J. Copet, K. Lakhotia, T. Nguyen, M. Rivière, A. Mohamed, E. Dupoux and 1 other author(s). CoRR, (2021)Radarly : écouter et analyser le web conversationnel en temps réel (Real time listening and analysis of the social web using Radarly).J. Copet, C. de Carvalho, V. Mouilleron, B. Tabutiaux, and H. Zanghi. JEP-TALN-RECITAL (Demonstrations), page 40-42. AFCP - ATALA, (2016)EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis.T. Nguyen, W. Hsu, A. D'Avirro, B. Shi, I. Gat, M. Fazel-Zarandi, T. Remez, J. Copet, G. Synnaeve, M. Hassid and 3 other author(s). CoRR, (2023)AudioGen: Textually Guided Audio Generation.F. Kreuk, G. Synnaeve, A. Polyak, U. Singer, A. Défossez, J. Copet, D. Parikh, Y. Taigman, and Y. Adi. CoRR, (2022)Audio Language Modeling using Perceptually-Guided Discrete Representations.F. Kreuk, Y. Taigman, A. Polyak, J. Copet, G. Synnaeve, A. Défossez, and Y. Adi. CoRR, (2022)STOP: A dataset for Spoken Task Oriented Semantic Parsing.P. Tomasello, A. Shrivastava, D. Lazar, P. Hsu, D. Le, A. Sagar, A. Elkahky, J. Copet, W. Hsu, Y. Mordechay and 5 other author(s). CoRR, (2022)Do Coarser Units Benefit Cluster Prediction-Based Speech Pre-Training?A. Elkahky, W. Hsu, P. Tomasello, T. Nguyen, R. Algayres, Y. Adi, J. Copet, E. Dupoux, and A. Mohamed. ICASSP, page 1-5. IEEE, (2023)

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Brouhaha: Multi-Task Training for Voice Activity Detection, Speech-to-Noise Ratio, and C50 Room Acoustics Estimation.

Please choose a person to relate this publication to

Klaus Jäde

Susanne Jäde

Kathrin Jäde

Carlo Alberto Copetti

Paul Jäde

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Copet, Jade"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Brouhaha: Multi-Task Training for Voice Activity Detection, Speech-to-Noise Ratio, and C50 Room Acoustics Estimation.

Please choose a person to relate this publication to

Klaus Jäde

Susanne Jäde

Kathrin Jäde

Carlo Alberto Copetti

Paul Jäde

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
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Brouhaha: Multi-Task Training for Voice Activity Detection, Speech-to-Noise Ratio, and C50 Room Acoustics Estimation.