Neil Zeghidour

According to our database, Neil Zeghidour authored at least 41 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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, Neil Zeghidour, Andrea Agostinelli

CoRR, 2024

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

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

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, Eugene Kharitonov, Hannah Muckenhirn, Dirk Padfield, James Qin, Danny Rozenberg, Tara N. Sainath, Johan Schalkwyk, Matthew Sharifi, Michelle Tadmor Ramanovich, Marco Tagliasacchi, Alexandru Tudor, Mihajlo Velimirovic, Damien Vincent, Jiahui Yu, Yongqiang Wang, Vicky Zayats, Neil Zeghidour, Yu Zhang, Zhishuai Zhang, Lukas Zilka, Christian Havnø Frank

CoRR, 2023

SoundStorm: Efficient Parallel Audio Generation.

Zalán Borsos, Matthew Sharifi, Damien Vincent, Eugene Kharitonov, Neil Zeghidour, Marco Tagliasacchi

CoRR, 2023

DNArch: Learning Convolutional Neural Architectures by Backpropagation.

David W. Romero, Neil Zeghidour

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, Matthew Sharifi, Marco Tagliasacchi, Neil Zeghidour

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

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, Christian Havnø Frank

CoRR, 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

Proceedings of the IEEE International Conference on Robotics and Automation, 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

Proceedings of the IEEE International Conference on Acoustics, 2023

Disentangling Speech from Surroundings with Neural Embeddings.

Ahmed Omran, Neil Zeghidour, Zalán Borsos, Félix de Chaumont Quitry, Malcolm Slaney, Marco Tagliasacchi

Proceedings of the IEEE International Conference on Acoustics, 2023

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

Proceedings of the IEEE International Conference on Acoustics, 2023

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

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

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

Multi-instrument Music Synthesis with Spectrogram Diffusion.

Curtis Hawthorne, Ian Simon, Adam Roberts, Neil Zeghidour, Josh Gardner, Ethan Manilow, Jesse H. Engel

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Learning neural audio features without supervision.

Sarthak Yadav, Neil Zeghidour

Proceedings of the Interspeech 2022, 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

Proceedings of the 2022 International Conference on Robotics and Automation, 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, Jean-Baptiste Alayrac, João Carreira, Jesse H. Engel

Proceedings of the International Conference on Machine Learning, 2022

Learning Strides in Convolutional Neural Networks.

Rachid Riad, Olivier Teboul, David Grangier, Neil Zeghidour

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Wavesplit: End-to-End Speech Separation by Speaker Clustering.

Neil Zeghidour, David Grangier

IEEE ACM Trans. Audio Speech Lang. Process., 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

LEAF: A Learnable Frontend for Audio Classification.

Neil Zeghidour, Olivier Teboul, Félix de Chaumont Quitry, Marco Tagliasacchi

Proceedings of the 9th International Conference on Learning Representations, 2021

Contrastive Learning of General-Purpose Audio Representations.

Aaqib Saeed, David Grangier, Neil Zeghidour

Proceedings of the IEEE International Conference on Acoustics, 2021

Learning From Heterogeneous Eeg Signals with Differentiable Channel Reordering.

Aaqib Saeed, David Grangier, Olivier Pietquin, Neil Zeghidour

Proceedings of the IEEE International Conference on Acoustics, 2021

Dive: End-to-End Speech Diarization Via Iterative Speaker Embedding.

Neil Zeghidour, Olivier Teboul, David Grangier

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

2019

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

Neil Zeghidour

PhD thesis, 2019

Deep multi-class learning from label proportions.

Gabriel Dulac-Arnold, Neil Zeghidour, Marco Cuturi, Lucas Beyer, Jean-Philippe Vert

CoRR, 2019

Learning to Detect Dysarthria from Raw Speech.

Juliette Millet, Neil Zeghidour

Proceedings of the IEEE International Conference on Acoustics, 2019

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

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Fully Convolutional Speech Recognition.

Neil Zeghidour, Qiantong Xu, Vitaliy Liptchinsky, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert

CoRR, 2018

SING: Symbol-to-Instrument Neural Generator.

Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Léon Bottou, Francis R. Bach

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

End-to-End Speech Recognition from the Raw Waveform.

Neil Zeghidour, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert, Emmanuel Dupoux

Proceedings of the Interspeech 2018, 2018

Sampling Strategies in Siamese Networks for Unsupervised Speech Representation Learning.

Rachid Riad, Corentin Dancette, Julien Karadayi, Neil Zeghidour, Thomas Schatz, Emmanuel Dupoux

Proceedings of the Interspeech 2018, 2018

Learning Filterbanks from Raw Speech for Phone Recognition.

Neil Zeghidour, Nicolas Usunier, Iasonas Kokkinos, Thomas Schatz, Gabriel Synnaeve, Emmanuel Dupoux

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Fader Networks: Manipulating Images by Sliding Attributes.

Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, Marc'Aurelio Ranzato

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Weakly Supervised Multimodal Phoneme Embeddings.

Rahma Chaabouni, Ewan Dunbar, Neil Zeghidour, Emmanuel Dupoux

Proceedings of the Interspeech 2017, 2017

2016

Joint Learning of Speaker and Phonetic Similarities with Siamese Networks.

Neil Zeghidour, Gabriel Synnaeve, Nicolas Usunier, Emmanuel Dupoux

Proceedings of the Interspeech 2016, 2016

A deep scattering spectrum - Deep Siamese network pipeline for unsupervised acoustic modeling.

Neil Zeghidour, Gabriel Synnaeve, Maarten Versteegh, Emmanuel Dupoux

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016