Artiklar med krav på offentlig åtkomst - Gaël RichardLäs mer
Tillgängliga någonstans: 39
DrumGAN: Synthesis of drum sounds with timbral feature conditioning using Generative Adversarial Networks
JN Hurle, S Lattner, G Richard
21 st International Society for Music Information Retrieval Conference (ISMIR), 2020
Krav: European Commission
Groove2groove: One-shot music style transfer with supervision from synthetic data
O Cífka, U Şimşekli, G Richard
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2638-2650, 2020
Krav: European Commission
First exit time analysis of stochastic gradient descent under heavy-tailed gradient noise
TH Nguyen, U Simsekli, M Gurbuzbalaban, G Richard
Advances in neural information processing systems 32, 2019
Krav: US National Science Foundation, Agence Nationale de la Recherche
Relative positional encoding for transformers with linear complexity
A Liutkus, O Cıfka, SL Wu, U Simsekli, YH Yang, G Richard
International Conference on Machine Learning, 7067-7079, 2021
Krav: European Commission, Agence Nationale de la Recherche
Heavy tails in SGD and compressibility of overparametrized neural networks
M Barsbey, M Sefidgaran, MA Erdogdu, G Richard, U Simsekli
Advances in neural information processing systems 34, 29364-29378, 2021
Krav: Natural Sciences and Engineering Research Council of Canada, Agence …
Self-supervised vq-vae for one-shot music style transfer
O Cífka, A Ozerov, U Şimşekli, G Richard
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Krav: European Commission
Comparing representations for audio synthesis using generative adversarial networks
J Nistal, S Lattner, G Richard
2020 28th European Signal Processing Conference (EUSIPCO), 161-165, 2021
Krav: European Commission
Unsupervised music source separation using differentiable parametric source models
K Schulze-Forster, G Richard, L Kelley, CSJ Doire, R Badeau
IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 1276-1289, 2023
Krav: European Commission
Phoneme level lyrics alignment and text-informed singing voice separation
K Schulze-Forster, CSJ Doire, G Richard, R Badeau
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2382-2395, 2021
Krav: European Commission
Audio-based auto-tagging with contextual tags for music
KM Ibrahim, J Royo-Letelier, EV Epure, G Peeters, G Richard
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Krav: European Commission
Non-asymptotic analysis of Fractional Langevin Monte Carlo for non-convex optimization
TH Nguyen, U Simsekli, G Richard
International Conference on Machine Learning, 4810-4819, 2019
Krav: Agence Nationale de la Recherche
Joint phoneme alignment and text-informed speech separation on highly corrupted speech
K Schulze-Forster, CSJ Doire, G Richard, R Badeau
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
Krav: European Commission
Weakly informed audio source separation
K Schulze-Forster, C Doire, G Richard, R Badeau
2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019
Krav: European Commission
EEG-based decoding of auditory attention to a target instrument in polyphonic music
G Cantisani, S Essid, G Richard
2019 IEEE workshop on applications of signal processing to audio and …, 2019
Krav: European Commission
Audiovisual analysis of music performances: Overview of an emerging field
Z Duan, S Essid, CCS Liem, G Richard, G Sharma
IEEE Signal Processing Magazine 36 (1), 63-73, 2018
Krav: US National Science Foundation
Listen to interpret: Post-hoc interpretability for audio networks with nmf
J Parekh, S Parekh, P Mozharovskyi, F d'Alché-Buc, G Richard
Advances in Neural Information Processing Systems 35, 35270-35283, 2022
Krav: Agence Nationale de la Recherche
Rate-distortion theoretic generalization bounds for stochastic learning algorithms
M Sefidgaran, A Gohari, G Richard, U Simsekli
Conference on Learning Theory, 4416-4463, 2022
Krav: Agence Nationale de la Recherche
Combining monaural source separation with long short-term memory for increased robustness in vocalist gender recognition
F Weninger, JL Durrieu, F Eyben, G Richard, B Schuller
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
Krav: German Research Foundation
Confidence-based weighted loss for multi-label classification with missing labels
KM Ibrahim, EV Epure, G Peeters, G Richard
Proceedings of the 2020 International Conference on Multimedia Retrieval …, 2020
Krav: European Commission
Neuro-steered music source separation with EEG-based auditory attention decoding and contrastive-NMF
G Cantisani, S Essid, G Richard
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
Krav: European Commission
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