Acoustic modelling with CD-CTC-SMBR LSTM RNNS. - Andrew W. Senior; Hasim Sak; Felix de Chaumont Quitry; Tara N. Sainath; Kanishka Rao (ASRU, 2015)

High quality agreement-based semi-supervised training data for acoustic modeling. - Felix de Chaumont Quitry; Asa Oines; Pedro J. Moreno 001; Eugene Weinstein (SLT, 2016)

Self-supervised audio representation learning for mobile devices. - Marco Tagliasacchi; Beat Gfeller; Felix de Chaumont Quitry; Dominik Roblek (CoRR, 2019)

Learning audio representations via phase prediction. - Felix de Chaumont Quitry; Marco Tagliasacchi; Dominik Roblek (CoRR, 2019)

Towards Learning a Universal Non-Semantic Representation of Speech. - Joel Shor; Aren Jansen; Ronnie Maor; Oran Lang; Omry Tuval; Félix de Chaumont Quitry; Marco Tagliasacchi; Ira Shavitt; Dotan Emanuel; Yinnon Haviv (INTERSPEECH, 2020)

Pre-Training Audio Representations With Self-Supervision. - Marco Tagliasacchi; Beat Gfeller; Felix de Chaumont Quitry; Dominik Roblek (IEEE Signal Process. Lett., 2020)

Multi-Task Adapters for On-Device Audio Inference. - Marco Tagliasacchi; Felix de Chaumont Quitry; Dominik Roblek (IEEE Signal Process. Lett., 2020)

LEAF: A Learnable Frontend for Audio Classification. - Neil Zeghidour; Olivier Teboul; Félix de Chaumont Quitry; Marco Tagliasacchi (ICLR, 2021)

CycleGAN-based Unpaired Speech Dereverberation. - Hannah Muckenhirn; Aleksandr Safin; Hakan Erdogan; Felix de Chaumont Quitry; Marco Tagliasacchi; Scott Wisdom; John R. Hershey (INTERSPEECH, 2022)

Disentangling speech from surroundings in a neural audio codec. - Ahmed Omran; Neil Zeghidour; Zalán Borsos; Félix de Chaumont Quitry; Malcolm Slaney; Marco Tagliasacchi (CoRR, 2022)

Disentangling Speech from Surroundings with Neural Embeddings. - Ahmed Omran; Neil Zeghidour; Zalán Borsos; Félix de Chaumont Quitry; Malcolm Slaney; Marco Tagliasacchi (ICASSP, 2023)

AudioPaLM: A Large Language Model That Can Speak and Listen. - Paul K. Rubenstein; Chulayuth Asawaroengchai; Duc Dung Nguyen; Ankur Bapna; Zalán Borsos; Félix de Chaumont Quitry; Peter Chen; Dalia El Badawy; Wei Han 002; Eugene Kharitonov; Hannah Muckenhirn; Dirk Padfield; et al. (CoRR, 2023)