A deep scattering spectrum - Deep Siamese network pipeline for unsupervised acoustic modeling. - Neil Zeghidour; Gabriel Synnaeve; Maarten Versteegh; Emmanuel Dupoux (ICASSP, 2016)

Joint Learning of Speaker and Phonetic Similarities with Siamese Networks. - Neil Zeghidour; Gabriel Synnaeve; Nicolas Usunier; Emmanuel Dupoux (INTERSPEECH, 2016)

Learning Weakly Supervised Multimodal Phoneme Embeddings. - Rahma Chaabouni 001; Ewan Dunbar; Neil Zeghidour; Emmanuel Dupoux (INTERSPEECH, 2017)

Fader Networks: Manipulating Images by Sliding Attributes. - Guillaume Lample; Neil Zeghidour; Nicolas Usunier; Antoine Bordes; Ludovic Denoyer; Marc'Aurelio Ranzato (NIPS, 2017)

Learning Filterbanks from Raw Speech for Phone Recognition. - Neil Zeghidour; Nicolas Usunier; Iasonas Kokkinos; Thomas Schatz; Gabriel Synnaeve; Emmanuel Dupoux (ICASSP, 2018)

Sampling Strategies in Siamese Networks for Unsupervised Speech Representation Learning. - Rachid Riad; Corentin Dancette; Julien Karadayi; Neil Zeghidour; Thomas Schatz; Emmanuel Dupoux (INTERSPEECH, 2018)

End-to-End Speech Recognition from the Raw Waveform. - Neil Zeghidour; Nicolas Usunier; Gabriel Synnaeve; Ronan Collobert; Emmanuel Dupoux (INTERSPEECH, 2018)

SING: Symbol-to-Instrument Neural Generator. - Alexandre Défossez; Neil Zeghidour; Nicolas Usunier; Léon Bottou; Francis R. Bach (NeurIPS, 2018)

Fully Convolutional Speech Recognition. - Neil Zeghidour; Qiantong Xu; Vitaliy Liptchinsky; Nicolas Usunier; Gabriel Synnaeve; Ronan Collobert (CoRR, 2018)

To Reverse the Gradient or Not: an Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition. - Yossi Adi; Neil Zeghidour; Ronan Collobert; Nicolas Usunier; Vitaliy Liptchinsky; Gabriel Synnaeve (ICASSP, 2019)

Learning to Detect Dysarthria from Raw Speech. - Juliette Millet; Neil Zeghidour (ICASSP, 2019)

Deep multi-class learning from label proportions. - Gabriel Dulac-Arnold; Neil Zeghidour; Marco Cuturi; Lucas Beyer; Jean-Philippe Vert (CoRR, 2019)

Learning representations of speech from the raw waveform. (Apprentissage de représentations de la parole à partir du signal brut). - Neil Zeghidour (2019)

Dive: End-to-End Speech Diarization Via Iterative Speaker Embedding. - Neil Zeghidour; Olivier Teboul; David Grangier (ASRU, 2021)

Learning From Heterogeneous Eeg Signals with Differentiable Channel Reordering. - Aaqib Saeed; David Grangier; Olivier Pietquin; Neil Zeghidour (ICASSP, 2021)

Contrastive Learning of General-Purpose Audio Representations. - Aaqib Saeed; David Grangier; Neil Zeghidour (ICASSP, 2021)

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

Self-Supervised Learning of Audio Representations From Permutations With Differentiable Ranking. - Andrew N. Carr; Quentin Berthet; Mathieu Blondel; Olivier Teboul; Neil Zeghidour (IEEE Signal Process. Lett., 2021)

Wavesplit: End-to-End Speech Separation by Speaker Clustering. - Neil Zeghidour; David Grangier (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Polygonal Shapes Reconstruction from Acoustic Echoes Using a Mobile Sensor and Beamforming. - Othmane-Latif Ouabi; Jiawei Yi; Neil Zeghidour; Nico F. Declercq; Matthieu Geist; Cédric Pradalier (EUSIPCO, 2022)

Learning Strides in Convolutional Neural Networks. - Rachid Riad; Olivier Teboul; David Grangier; Neil Zeghidour (ICLR, 2022)

General-purpose, long-context autoregressive modeling with Perceiver AR. - Curtis Hawthorne; Andrew Jaegle; Catalina Cangea; Sebastian Borgeaud; Charlie Nash; Mateusz Malinowski; Sander Dieleman; Oriol Vinyals; Matthew M. Botvinick; Ian Simon; Hannah Sheahan; Neil Zeghidour; et al. (ICML, 2022)

Combined Grid and Feature-based Mapping of Metal Structures with Ultrasonic Guided Waves. - Othmane-Latif Ouabi; Ayoub Ridani; Pascal Pomarede; Neil Zeghidour; Nico F. Declercq; Matthieu Geist; Cédric Pradalier (ICRA, 2022)

Learning neural audio features without supervision. - Sarthak Yadav; Neil Zeghidour (INTERSPEECH, 2022)

Multi-instrument Music Synthesis with Spectrogram Diffusion. - Curtis Hawthorne; Ian Simon; Adam Roberts; Neil Zeghidour; Josh Gardner 001; Ethan Manilow; Jesse H. Engel (ISMIR, 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)

AudioLM: a Language Modeling Approach to Audio Generation. - Zalán Borsos; Raphaël Marinier; Damien Vincent; Eugene Kharitonov; Olivier Pietquin; Matthew Sharifi; Olivier Teboul; David Grangier; Marco Tagliasacchi; Neil Zeghidour (CoRR, 2022)

SoundStream: An End-to-End Neural Audio Codec. - Neil Zeghidour; Alejandro Luebs; Ahmed Omran; Jan Skoglund; Marco Tagliasacchi (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

LMCodec: A Low Bitrate Speech Codec with Causal Transformer Models. - Teerapat Jenrungrot; Michael Chinen; W. Bastiaan Kleijn; Jan Skoglund; Zalán Borsos; Neil Zeghidour; Marco Tagliasacchi (ICASSP, 2023)

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

Speech Intelligibility Classifiers from 550k Disordered Speech Samples. - Subhashini Venugopalan; Jimmy Tobin; Samuel J. Yang; Katie Seaver; Richard J. N. Cave; Pan-Pan Jiang; Neil Zeghidour; Rus Heywood; Jordan R. Green; Michael P. Brenner (ICASSP, 2023)

Pose-graph SLAM Using Multi-order Ultrasonic Echoes and Beamforming for Long-range Inspection Robots. - Othmane-Latif Ouabi; Neil Zeghidour; Nico F. Declercq; Matthieu Geist; Cédric Pradalier (ICRA, 2023)

TokenSplit: Using Discrete Speech Representations for Direct, Refined, and Transcript-Conditioned Speech Separation and Recognition. - Hakan Erdogan; Scott Wisdom; Xuankai Chang; Zalán Borsos; Marco Tagliasacchi; Neil Zeghidour; John R. Hershey (INTERSPEECH, 2023)

MusicLM: Generating Music From Text. - Andrea Agostinelli; Timo I. Denk; Zalán Borsos; Jesse H. Engel; Mauro Verzetti; Antoine Caillon; Qingqing Huang; Aren Jansen; Adam Roberts; Marco Tagliasacchi; Matthew Sharifi; Neil Zeghidour; et al. (CoRR, 2023)

SingSong: Generating musical accompaniments from singing. - Chris Donahue; Antoine Caillon; Adam Roberts; Ethan Manilow; Philippe Esling; Andrea Agostinelli; Mauro Verzetti; Ian Simon; Olivier Pietquin; Neil Zeghidour; Jesse H. Engel (CoRR, 2023)

DNArch: Learning Convolutional Neural Architectures by Backpropagation. - David W. Romero; Neil Zeghidour (CoRR, 2023)

SoundStorm: Efficient Parallel Audio Generation. - Zalán Borsos; Matthew Sharifi; Damien Vincent; Eugene Kharitonov; Neil Zeghidour; Marco Tagliasacchi (CoRR, 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)

Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision. - Eugene Kharitonov; Damien Vincent; Zalán Borsos; Raphaël Marinier; Sertan Girgin; Olivier Pietquin; Matt Sharifi; Marco Tagliasacchi; Neil Zeghidour (Trans. Assoc. Comput. Linguistics, 2023)

AudioLM: A Language Modeling Approach to Audio Generation. - Zalán Borsos; Raphaël Marinier; Damien Vincent; Eugene Kharitonov; Olivier Pietquin; Matthew Sharifi; Dominik Roblek; Olivier Teboul; David Grangier; Marco Tagliasacchi; Neil Zeghidour (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

MusicRL: Aligning Music Generation to Human Preferences. - Geoffrey Cideron; Sertan Girgin; Mauro Verzetti; Damien Vincent; Matej Kastelic; Zalán Borsos; Brian McWilliams; Victor Ungureanu; Olivier Bachem; Olivier Pietquin; Matthieu Geist; Léonard Hussenot; et al. (ICML, 2024)

Moshi: a speech-text foundation model for real-time dialogue. - Alexandre Défossez; Laurent Mazaré; Manu Orsini; Amélie Royer; Patrick Pérez; Hervé Jégou; Edouard Grave; Neil Zeghidour (CoRR, 2024)

CaReAQA: A Cardiac and Respiratory Audio Question Answering Model for Open-Ended Diagnostic Reasoning. - Tsai-Ning Wang; Lin-Lin Chen; Neil Zeghidour; Aaqib Saeed (CHIL, 2025)

MAD Speech: Measures of Acoustic Diversity of Speech. - Matthieu Futeral; Andrea Agostinelli; Marco Tagliasacchi; Neil Zeghidour; Eugene Kharitonov (NAACL (Long Papers), 2025)

High-Fidelity Simultaneous Speech-To-Speech Translation. - Tom Labiausse; Laurent Mazaré; Edouard Grave; Patrick Pérez; Alexandre Défossez; Neil Zeghidour (CoRR, 2025)

Vision-Speech Models: Teaching Speech Models to Converse about Images. - Amélie Royer; Moritz Böhle; Gabriel de Marmiesse; Laurent Mazaré; Neil Zeghidour; Alexandre Défossez; Patrick Pérez (CoRR, 2025)

Aligning Spoken Dialogue Models from User Interactions. - Anne Wu; Laurent Mazaré; Neil Zeghidour; Alexandre Défossez (CoRR, 2025)