Gaël Richard

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 129

Top Venues

CoRR

ICASSP

IEEE ACM Trans. Audio Speech Lang. Process.

ISMIR

Publications

Teysir Baoueb, Haocheng Liu, Mathieu Fontaine, Jonathan Le Roux, Gaël Richard
SpecDiff-GAN: A Spectrally-Shaped Noise Diffusion GAN for Speech and Music Synthesis. CoRR (2024)
Bernardo Torres, Stefan Lattner, Gaël Richard
Singer Identity Representation Learning using Self-Supervised Techniques. CoRR (2024)
Victor Letzelter, David Perera, Cédric Rommel, Mathieu Fontaine, Slim Essid, Gaël Richard, Patrick Pérez
Winner-takes-all learners are geometry-aware conditional density estimators. CoRR (2024)
Haocheng Liu, Teysir Baoueb, Mathieu Fontaine, Jonathan Le Roux, Gaël Richard
GLA-Grad: A Griffin-Lim Extended Waveform Generation Diffusion Model. CoRR (2024)
Louis Bahrman, Mathieu Fontaine, Jonathan Le Roux, Gaël Richard
Speech dereverberation constrained on room impulse response characteristics. CoRR (2024)
David Perera, Victor Letzelter, Théo Mariotte, Adrien Cortés, Mickaël Chen, Slim Essid, Gaël Richard
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing. CoRR (2024)
Manvi Agarwal, Changhong Wang, Gaël Richard
Structure-Informed Positional Encoding for Music Generation. ICASSP (2024)
Manvi Agarwal, Changhong Wang, Gaël Richard
Structure-informed Positional Encoding for Music Generation. CoRR (2024)
Bernardo Torres, Geoffroy Peeters, Gaël Richard
Unsupervised Harmonic Parameter Estimation Using Differentiable DSP and Spectral Optimal Transport. ICASSP (2024)
Haocheng Liu, Teysir Baoueb, Mathieu Fontaine, Jonathan Le Roux, Gaël Richard
GLA-GRAD: A Griffin-Lim Extended Waveform Generation Diffusion Model. ICASSP (2024)
Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Gaël Richard, Florence d'Alché-Buc
Tackling Interpretability in Audio Classification Networks With Non-negative Matrix Factorization. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Teysir Baoueb, Haocheng Liu, Mathieu Fontaine, Jonathan Le Roux, Gaël Richard
SpecDiff-GAN: A Spectrally-Shaped Noise Diffusion GAN for Speech and Music Synthesis. ICASSP (2024)
Gaël Richard, Pierre Chouteau, Bernardo Torres
A Fully Differentiable Model for Unsupervised Singing Voice Separation. ICASSP (2024)
Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Gaël Richard, Florence d'Alché-Buc
Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization. CoRR (2023)
Gaël Richard, Paris Smaragdis, Sharon Gannot, Patrick A. Naylor, Shoji Makino, Walter Kellermann, Akihiko Sugiyama
Audio Signal Processing in the 21st Century: The important outcomes of the past 25 years. IEEE Signal Process. Mag. 40 (5) (2023)
Kilian Schulze-Forster, Gaël Richard, Liam Kelley, Clement S. J. Doire, Roland Badeau
Unsupervised Music Source Separation Using Differentiable Parametric Source Models. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Laure Prétet, Gaël Richard, Clément Souchier, Geoffroy Peeters
Video-to-Music Recommendation Using Temporal Alignment of Segments. IEEE Trans. Multim. 25 (2023)
Changhong Wang, Gaël Richard, Brian McFee
Transfer Learning and Bias Correction with Pre-trained Audio Embeddings. CoRR (2023)
Changhong Wang, Gaël Richard, Brian McFee
Transfer Learning and Bias Correction With Pre-Trained Audio Embeddings. ISMIR (2023)
Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, Gaël Richard
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis. NeurIPS (2023)
Victor Letzelter, Mathieu Fontaine, Mickaël Chen, Patrick Pérez, Slim Essid, Gaël Richard
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis. CoRR (2023)
Félix Mathieu, Thomas Courtat, Gaël Richard, Geoffroy Peeters
Learning Interpretable Filters In Wav-UNet For Speech Enhancement. ICASSP (2023)
Bernardo Torres, Stefan Lattner, Gaël Richard
Singer Identity Representation Learning Using Self-Supervised Techniques. ISMIR (2023)
Laure Prétet, Gaël Richard, Clément Souchier, Geoffroy Peeters
Video-to-Music Recommendation using Temporal Alignment of Segments. CoRR (2023)
Bernardo Torres, Geoffroy Peeters, Gaël Richard
Unsupervised Harmonic Parameter Estimation Using Differentiable DSP and Spectral Optimal Transport. CoRR (2023)
Milad Sefidgaran, Amin Gohari, Gaël Richard, Umut Simsekli
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms. CoRR (2022)
Karim M. Ibrahim, Elena V. Epure, Geoffroy Peeters, Gaël Richard
Exploiting Device and Audio Data to Tag Music with User-Aware Listening Contexts. CoRR (2022)
Félix Mathieu, Thomas Courtat, Gaël Richard, Geoffroy Peeters
Phase Shifted Bedrosian Filterbank: An Interpretable Audio Front-End for Time-Domain Audio Source Separation. ICASSP (2022)
Milad Sefidgaran, Amin Gohari, Gaël Richard, Umut Simsekli
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms. COLT (2022)
Kilian Schulze-Forster, Clement S. J. Doire, Gaël Richard, Roland Badeau
Unsupervised Audio Source Separation Using Differentiable Parametric Source Models. CoRR (2022)
David Perera, Slim Essid, Gaël Richard
Latent and Adversarial Data Augmentations for Sound Event Detection and Classification. DCASE (2022)
Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF. NeurIPS (2022)
Karim M. Ibrahim, Elena V. Epure, Geoffroy Peeters, Gaël Richard
Exploiting Device and Audio Data to Tag Music with User-Aware Listening Contexts. ISMIR (2022)
Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF. CoRR (2022)
Benoit Fuentes, Gaël Richard
Probabilistic semi-nonnegative matrix factorization: a Skellam-based framework. CoRR (2021)
Giorgia Cantisani, Slim Essid, Gaël Richard
Neuro-Steered Music Source Separation With EEG-Based Auditory Attention Decoding And Contrastive-NMF. ICASSP (2021)
Melih Barsbey, Milad Sefidgaran, Murat A. Erdogdu, Gaël Richard, Umut Simsekli
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks. CoRR (2021)
Antoine Liutkus, Ondrej Cífka, Shih-Lun Wu, Umut Simsekli, Yi-Hsuan Yang, Gaël Richard
Relative Positional Encoding for Transformers with Linear Complexity. CoRR (2021)
Ondrej Cífka, Alexey Ozerov, Umut Simsekli, Gaël Richard
Self-Supervised VQ-VAE for One-Shot Music Style Transfer. ICASSP (2021)
Melih Barsbey, Milad Sefidgaran, Murat A. Erdogdu, Gaël Richard, Umut Simsekli
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks. NeurIPS (2021)
Laure Prétet, Gaël Richard, Geoffroy Peeters
Cross-Modal Music-Video Recommendation: A Study of Design Choices. CoRR (2021)
Kilian Schulze-Forster, Clement S. J. Doire, Gaël Richard, Roland Badeau
Phoneme Level Lyrics Alignment and Text-Informed Singing Voice Separation. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Laure Prétet, Gaël Richard, Geoffroy Peeters
Is there a "language of music-video clips" ? A qualitative and quantitative study. ISMIR (2021)
Javier Nistal, Cyran Aouameur, Stefan Lattner, Gaël Richard
VQCPC-GAN: Variable-length Adversarial Audio Synthesis using Vector-Quantized Contrastive Predictive Coding. CoRR (2021)
Giorgia Cantisani, Alexey Ozerov, Slim Essid, Gaël Richard
User-Guided One-Shot Deep Model Adaptation for Music Source Separation. WASPAA (2021)
Ondrej Cífka, Alexey Ozerov, Umut Simsekli, Gaël Richard
Self-Supervised VQ-VAE For One-Shot Music Style Transfer. CoRR (2021)
Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard
The Words Remain the Same: Cover Detection with Lyrics Transcription. ISMIR (2021)
Javier Nistal, Stefan Lattner, Gaël Richard
DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis With GANs. ISMIR (2021)
Javier Nistal, Cyran Aouameur, Stefan Lattner, Gaël Richard
VQCPC-GAN: Variable-Length Adversarial Audio Synthesis Using Vector-Quantized Contrastive Predictive Coding. WASPAA (2021)
Laure Prétet, Gaël Richard, Geoffroy Peeters
Is there a "language of music-video clips" ? A qualitative and quantitative study. CoRR (2021)
Antoine Liutkus, Ondrej Cífka, Shih-Lun Wu, Umut Simsekli, Yi-Hsuan Yang, Gaël Richard
Relative Positional Encoding for Transformers with Linear Complexity. ICML (2021)
Laure Prétet, Gaël Richard, Geoffroy Peeters
Cross-Modal Music-Video Recommendation: A Study of Design Choices. IJCNN (2021)
Javier Nistal, Stefan Lattner, Gaël Richard
DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis with GANs. CoRR (2021)
Javier Nistal, Stefan Lattner, Gaël Richard
DrumGAN: Synthesis of Drum Sounds With Timbral Feature Conditioning Using Generative Adversarial Networks. CoRR (2020)
Thomas Janssoone, Kévin Bailly, Gaël Richard, Chloé Clavel
The POTUS Corpus, a Database of Weekly Addresses for the Study of Stance in Politics and Virtual Agents. LREC (2020)
Kilian Schulze-Forster, Clement S. J. Doire, Gaël Richard, Roland Badeau
Joint Phoneme Alignment and Text-Informed Speech Separation on Highly Corrupted Speech. ICASSP (2020)
Enguerrand Gentet, Bertrand David, Sébastien Denjean, Gaël Richard, Vincent Roussarie
Speech Intelligibility Enhancement by Equalization for in-Car Applications. ICASSP (2020)
Simon Henriet, Benoit Fuentes, Umut Simsekli, Gaël Richard
Matrix Factorization for High Frequency Non Intrusive Load Monitoring: Definitions and Algorithms. NILM@SenSys (2020)
Javier Nistal, Stefan Lattner, Gaël Richard
Comparing Representations for Audio Synthesis Using Generative Adversarial Networks. CoRR (2020)
Karim M. Ibrahim, Elena V. Epure, Geoffroy Peeters, Gaël Richard
Should we consider the users in contextual music auto-tagging models?. ISMIR (2020)
Ondrej Cífka, Umut Simsekli, Gaël Richard
Groove2Groove: One-Shot Music Style Transfer With Supervision From Synthetic Data. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Laure Prétet, Gaël Richard, Geoffroy Peeters
Learning to rank music tracks using triplet loss. CoRR (2020)
Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard, Florence d'Alché-Buc
Audio-Based Detection of Explicit Content in Music. ICASSP (2020)
Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard, Florence d'Alché-Buc
Multilingual lyrics-to-audio alignment. ISMIR (2020)
Javier Nistal, Stefan Lattner, Gaël Richard
DRUMGAN: Synthesis of Drum Sounds with Timbral Feature Conditioning Using Generative Adversarial Networks. ISMIR (2020)
Laure Prétet, Gaël Richard, Geoffroy Peeters
Learning to Rank Music Tracks Using Triplet Loss. ICASSP (2020)
Karim M. Ibrahim, Jimena Royo-Letelier, Elena V. Epure, Geoffroy Peeters, Gaël Richard
Audio-Based Auto-Tagging With Contextual Tags for Music. ICASSP (2020)
Javier Nistal, Stefan Lattner, Gaël Richard
Comparing Representations for Audio Synthesis Using Generative Adversarial Networks. EUSIPCO (2020)
Enguerrand Gentet, Bertrand David, Sébastien Denjean, Gaël Richard, Vincent Roussarie
Neutral to Lombard Speech Conversion with Deep Learning. ICASSP (2020)
Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard
Weakly Supervised Representation Learning for Audio-Visual Scene Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Karim M. Ibrahim, Elena V. Epure, Geoffroy Peeters, Gaël Richard
Confidence-based Weighted Loss for Multi-label Classification with Missing Labels. ICMR (2020)
Didier Bresch, Nicolas Cellier, Frédéric Couderc, Marguerite Gisclon, Pascal Noble, Gaël Richard, Christian Ruyer-Quil, Jean-Paul Vila
Augmented skew-symmetric system for shallow-water system with surface tension allowing large gradient of density. J. Comput. Phys. 419 (2020)
Sanjeel Parekh, Alexey Ozerov, Slim Essid, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard
Identify, Locate and Separate: Audio-Visual Object Extraction in Large Video Collections Using Weak Supervision. WASPAA (2019)
Thanh Huy Nguyen, Umut Simsekli, Gaël Richard
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization. ICML (2019)
Ondrej Cífka, Umut Simsekli, Gaël Richard
Supervised Symbolic Music Style Translation Using Synthetic Data. CoRR (2019)
Zhiyao Duan, Slim Essid, Cynthia C. S. Liem, Gaël Richard, Gaurav Sharma
Audiovisual Analysis of Music Performances: Overview of an Emerging Field. IEEE Signal Process. Mag. 36 (1) (2019)
Giorgia Cantisani, Slim Essid, Gaël Richard
EEG-Based Decoding of Auditory Attention to a Target Instrument in Polyphonic Music. WASPAA (2019)
Didier Bresch, Nicolas Cellier, Frédéric Couderc, Marguerite Gisclon, Pascal Noble, Gaël Richard, Christian Ruyer-Quil, Jean-Paul Vila
Augmented Skew-Symetric System for Shallow-Water System with Surface Tension Allowing Large Gradient of Density. CoRR (2019)
Umut Simsekli, Mert Gürbüzbalaban, Thanh Huy Nguyen, Gaël Richard, Levent Sagun
On the Heavy-Tailed Theory of Stochastic Gradient Descent for Deep Neural Networks. CoRR (2019)
Ondrej Cífka, Umut Simsekli, Gaël Richard
Supervised Symbolic Music Style Translation Using Synthetic Data. ISMIR (2019)
Thanh Huy Nguyen, Umut Simsekli, Mert Gürbüzbalaban, Gaël Richard
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise. CoRR (2019)
Thanh Huy Nguyen, Umut Simsekli, Gaël Richard
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization. CoRR (2019)
Kilian Schulze-Forster, Clement S. J. Doire, Gaël Richard, Roland Badeau
Weakly Informed Audio Source Separation. WASPAA (2019)
Simon Henriet, Umut Simsekli, Sergio Dos Santos, Benoit Fuentes, Gaël Richard
Independent-Variation Matrix Factorization With Application to Energy Disaggregation. IEEE Signal Process. Lett. 26 (11) (2019)
Thanh Huy Nguyen, Umut Simsekli, Mert Gürbüzbalaban, Gaël Richard
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise. NeurIPS (2019)
Thanh Huy Nguyen, Umut Simsekli, Gaël Richard, Ali Taylan Cemgil
Efficient Bayesian Model Selection in PARAFAC via Stochastic Thermodynamic Integration. IEEE Signal Process. Lett. 25 (5) (2018)
Umut Simsekli, Çagatay Yildiz, Thanh Huy Nguyen, A. Taylan Cemgil, Gaël Richard
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization. ICML (2018)
Simon Henriet, Umut Simsekli, Benoit Fuentes, Gaël Richard
A Generative Model for Non-Intrusive Load Monitoring in Commercial Buildings. CoRR (2018)
Umut Simsekli, Halil Erdogan, Simon Leglaive, Antoine Liutkus, Roland Badeau, Gaël Richard
Alpha-Stable Low-Rank Plus Residual Decomposition for Speech Enhancement. ICASSP (2018)
Simon Leglaive, Roland Badeau, Gaël Richard
Student's t Source and Mixing Models for Multichannel Audio Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 26 (6) (2018)
Umut Simsekli, Çagatay Yildiz, Thanh Huy Nguyen, Gaël Richard, A. Taylan Cemgil
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization. CoRR (2018)
Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard
Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events. CVPR Workshops (2018)
Clement Laroche, Matthieu Kowalski, Hélène Papadopoulos, Gaël Richard
Hybrid Projective Nonnegative Matrix Factorization With Drum Dictionaries for Harmonic/Percussive Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 26 (9) (2018)
Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard
Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events. CoRR (2018)
Sanjeel Parekh, Alexey Ozerov, Slim Essid, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard
Identify, locate and separate: Audio-visual object extraction in large video collections using weak supervision. CoRR (2018)
Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard
Nonnegative Feature Learning Methods for Acoustic Scene Classification. DCASE (2017)
Sébastien Fenet, Roland Badeau, Gaël Richard
Reassigned time-frequency representations of discrete time signals and application to the Constant-Q Transform. Signal Process. 132 (2017)
Clement Laroche, Hélène Papadopoulos, Matthieu Kowalski, Gaël Richard
Drum extraction in single channel audio signals using multi-layer Non negative Matrix Factor Deconvolution. ICASSP (2017)
Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard
Feature Learning With Matrix Factorization Applied to Acoustic Scene Classification. IEEE ACM Trans. Audio Speech Lang. Process. 25 (6) (2017)
Simon Leglaive, Umut Simsekli, Antoine Liutkus, Roland Badeau, Gaël Richard
Alpha-stable multichannel audio source separation. ICASSP (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gaël Richard