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ORCIDGaël Richard
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- affiliation: Télécom Paris, Paris, France
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2020 – today
- 2023
[j65]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): 12-26 (2023)- [j64]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: 1276-1289 (2023) - [j63]Laure Prétet, Gaël Richard, Clément Souchier, Geoffroy Peeters:
Video-to-Music Recommendation Using Temporal Alignment of Segments. IEEE Trans. Multim. 25: 2898-2911 (2023) - [i30]Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Gaël Richard, Florence d'Alché-Buc:
Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization. CoRR abs/2305.07132 (2023) - [i29]Laure Prétet, Gaël Richard, Clément Souchier, Geoffroy Peeters:
Video-to-Music Recommendation using Temporal Alignment of Segments. CoRR abs/2306.07187 (2023) - [i28]Changhong Wang, Gaël Richard, Brian McFee:
Transfer Learning and Bias Correction with Pre-trained Audio Embeddings. CoRR abs/2307.10834 (2023) - 2022
- [c168]Milad Sefidgaran, Amin Gohari, Gaël Richard, Umut Simsekli:
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms. COLT 2022: 4416-4463 - [c167]David Perera, Slim Essid, Gaël Richard:
Latent and Adversarial Data Augmentations for Sound Event Detection and Classification. DCASE 2022 - [c166]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: 531-535 - [c165]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: 186-192 - [c164]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 - [e2]Mathieu Lagrange, Annamaria Mesaros, Thomas Pellegrini, Gaël Richard, Romain Serizel, Dan Stowell:
Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, DCASE 2022, Nancy, France, November 3-4, 2022. Tampere University 2022, ISBN 978-952-03-2677-7 [contents] - [i27]Kilian Schulze-Forster, Clement S. J. Doire, Gaël Richard, Roland Badeau:
Unsupervised Audio Source Separation Using Differentiable Parametric Source Models. CoRR abs/2201.09592 (2022) - [i26]Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard:
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF. CoRR abs/2202.11479 (2022) - [i25]Milad Sefidgaran, Amin Gohari, Gaël Richard, Umut Simsekli:
Rate-Distortion Theoretic Generalization Bounds for Stochastic Learning Algorithms. CoRR abs/2203.02474 (2022) - [i24]Karim M. Ibrahim, Elena V. Epure, Geoffroy Peeters, Gaël Richard:
Exploiting Device and Audio Data to Tag Music with User-Aware Listening Contexts. CoRR abs/2211.07250 (2022) - 2021
- [j62]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: 2382-2395 (2021) - [c163]Giorgia Cantisani, Slim Essid, Gaël Richard:
Neuro-Steered Music Source Separation With EEG-Based Auditory Attention Decoding And Contrastive-NMF. ICASSP 2021: 36-40 - [c162]Ondrej Cífka, Alexey Ozerov, Umut Simsekli, Gaël Richard:
Self-Supervised VQ-VAE for One-Shot Music Style Transfer. ICASSP 2021: 96-100 - [c161]Antoine Liutkus, Ondrej Cífka, Shih-Lun Wu, Umut Simsekli, Yi-Hsuan Yang, Gaël Richard:
Relative Positional Encoding for Transformers with Linear Complexity. ICML 2021: 7067-7079 - [c160]Laure Prétet, Gaël Richard, Geoffroy Peeters:
Cross-Modal Music-Video Recommendation: A Study of Design Choices. IJCNN 2021: 1-9 - [c159]Javier Nistal, Stefan Lattner, Gaël Richard:
DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis With GANs. ISMIR 2021: 484-492 - [c158]Laure Prétet, Gaël Richard, Geoffroy Peeters:
Is there a "language of music-video clips" ? A qualitative and quantitative study. ISMIR 2021: 539-546 - [c157]Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard:
The Words Remain the Same: Cover Detection with Lyrics Transcription. ISMIR 2021: 714-721 - [c156]Melih Barsbey, Milad Sefidgaran, Murat A. Erdogdu, Gaël Richard, Umut Simsekli:
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks. NeurIPS 2021: 29364-29378 - [c155]Giorgia Cantisani, Alexey Ozerov, Slim Essid, Gaël Richard:
User-Guided One-Shot Deep Model Adaptation for Music Source Separation. WASPAA 2021: 111-115 - [c154]Javier Nistal, Cyran Aouameur, Stefan Lattner, Gaël Richard:
VQCPC-GAN: Variable-Length Adversarial Audio Synthesis Using Vector-Quantized Contrastive Predictive Coding. WASPAA 2021: 116-120 - [p5]Geoffroy Peeters, Gaël Richard:
Deep Learning for Audio and Music. Multi-faceted Deep Learning 2021: 231-266 - [i23]Ondrej Cífka, Alexey Ozerov, Umut Simsekli, Gaël Richard:
Self-Supervised VQ-VAE For One-Shot Music Style Transfer. CoRR abs/2102.05749 (2021) - [i22]Laure Prétet, Gaël Richard, Geoffroy Peeters:
Cross-Modal Music-Video Recommendation: A Study of Design Choices. CoRR abs/2104.14799 (2021) - [i21]Javier Nistal, Cyran Aouameur, Stefan Lattner, Gaël Richard:
VQCPC-GAN: Variable-length Adversarial Audio Synthesis using Vector-Quantized Contrastive Predictive Coding. CoRR abs/2105.01531 (2021) - [i20]Antoine Liutkus, Ondrej Cífka, Shih-Lun Wu, Umut Simsekli, Yi-Hsuan Yang, Gaël Richard:
Relative Positional Encoding for Transformers with Linear Complexity. CoRR abs/2105.08399 (2021) - [i19]Melih Barsbey, Milad Sefidgaran, Murat A. Erdogdu, Gaël Richard, Umut Simsekli:
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks. CoRR abs/2106.03795 (2021) - [i18]Benoit Fuentes, Gaël Richard:
Probabilistic semi-nonnegative matrix factorization: a Skellam-based framework. CoRR abs/2107.03317 (2021) - [i17]Laure Prétet, Gaël Richard, Geoffroy Peeters:
Is there a "language of music-video clips" ? A qualitative and quantitative study. CoRR abs/2108.00970 (2021) - [i16]Javier Nistal, Stefan Lattner, Gaël Richard:
DarkGAN: Exploiting Knowledge Distillation for Comprehensible Audio Synthesis with GANs. CoRR abs/2108.01216 (2021) - 2020
- [j61]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: 109670 (2020) - [j60]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: 416-428 (2020) - [j59]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: 2638-2650 (2020) - [c153]Javier Nistal, Stefan Lattner, Gaël Richard:
Comparing Representations for Audio Synthesis Using Generative Adversarial Networks. EUSIPCO 2020: 161-165 - [c152]Karim M. Ibrahim, Jimena Royo-Letelier, Elena V. Epure, Geoffroy Peeters, Gaël Richard:
Audio-Based Auto-Tagging With Contextual Tags for Music. ICASSP 2020: 16-20 - [c151]Laure Prétet, Gaël Richard, Geoffroy Peeters:
Learning to Rank Music Tracks Using Triplet Loss. ICASSP 2020: 511-515 - [c150]Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard, Florence d'Alché-Buc:
Audio-Based Detection of Explicit Content in Music. ICASSP 2020: 526-530 - [c149]Enguerrand Gentet, Bertrand David, Sébastien Denjean, Gaël Richard, Vincent Roussarie:
Speech Intelligibility Enhancement by Equalization for in-Car Applications. ICASSP 2020: 6934-6938 - [c148]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: 7274-7278 - [c147]Enguerrand Gentet, Bertrand David, Sébastien Denjean, Gaël Richard, Vincent Roussarie:
Neutral to Lombard Speech Conversion with Deep Learning. ICASSP 2020: 7739-7743 - [c146]Karim M. Ibrahim, Elena V. Epure, Geoffroy Peeters, Gaël Richard:
Should we consider the users in contextual music auto-tagging models?. ISMIR 2020: 295-301 - [c145]Andrea Vaglio, Romain Hennequin, Manuel Moussallam, Gaël Richard, Florence d'Alché-Buc:
Multilingual lyrics-to-audio alignment. ISMIR 2020: 512-519 - [c144]Javier Nistal, Stefan Lattner, Gaël Richard:
DRUMGAN: Synthesis of Drum Sounds with Timbral Feature Conditioning Using Generative Adversarial Networks. ISMIR 2020: 590-597 - [c143]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: 1546-1553 - [c142]Karim M. Ibrahim, Elena V. Epure, Geoffroy Peeters, Gaël Richard:
Confidence-based Weighted Loss for Multi-label Classification with Missing Labels. ICMR 2020: 291-295 - [c141]Simon Henriet, Benoit Fuentes, Umut Simsekli, Gaël Richard:
Matrix Factorization for High Frequency Non Intrusive Load Monitoring: Definitions and Algorithms. NILM@SenSys 2020: 20-24 - [i15]Laure Prétet, Gaël Richard, Geoffroy Peeters:
Learning to rank music tracks using triplet loss. CoRR abs/2005.12977 (2020) - [i14]Javier Nistal, Stefan Lattner, Gaël Richard:
Comparing Representations for Audio Synthesis Using Generative Adversarial Networks. CoRR abs/2006.09266 (2020) - [i13]Javier Nistal, Stefan Lattner, Gaël Richard:
DrumGAN: Synthesis of Drum Sounds With Timbral Feature Conditioning Using Generative Adversarial Networks. CoRR abs/2008.12073 (2020)
2010 – 2019
- 2019
- [j58]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): 1643-1647 (2019) - [j57]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): 63-73 (2019) - [c140]Thanh Huy Nguyen, Umut Simsekli, Gaël Richard:
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization. ICML 2019: 4810-4819 - [c139]Ondrej Cífka, Umut Simsekli, Gaël Richard:
Supervised Symbolic Music Style Translation Using Synthetic Data. ISMIR 2019: 588-595 - [c138]Thanh Huy Nguyen, Umut Simsekli, Mert Gürbüzbalaban, Gaël Richard:
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise. NeurIPS 2019: 273-283 - [c137]Giorgia Cantisani, Slim Essid, Gaël Richard:
EEG-Based Decoding of Auditory Attention to a Target Instrument in Polyphonic Music. WASPAA 2019: 80-84 - [c136]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: 268-272 - [c135]Kilian Schulze-Forster, Clement S. J. Doire, Gaël Richard, Roland Badeau:
Weakly Informed Audio Source Separation. WASPAA 2019: 273-277 - [i12]Thanh Huy Nguyen, Umut Simsekli, Gaël Richard:
Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization. CoRR abs/1901.07487 (2019) - [i11]Thanh Huy Nguyen, Umut Simsekli, Mert Gürbüzbalaban, Gaël Richard:
First Exit Time Analysis of Stochastic Gradient Descent Under Heavy-Tailed Gradient Noise. CoRR abs/1906.09069 (2019) - [i10]Ondrej Cífka, Umut Simsekli, Gaël Richard:
Supervised Symbolic Music Style Translation Using Synthetic Data. CoRR abs/1907.02265 (2019) - [i9]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 abs/1911.12217 (2019) - [i8]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 abs/1912.00018 (2019) - 2018
- [j56]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): 725-729 (2018) - [j55]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): 1150-1164 (2018) - [j54]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): 1499-1511 (2018) - [c134]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: 2518-2519 - [c133]Umut Simsekli, Halil Erdogan, Simon Leglaive, Antoine Liutkus, Roland Badeau, Gaël Richard:
Alpha-Stable Low-Rank Plus Residual Decomposition for Speech Enhancement. ICASSP 2018: 651-655 - [c132]Umut Simsekli, Çagatay Yildiz, Thanh Huy Nguyen, A. Taylan Cemgil, Gaël Richard:
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization. ICML 2018: 4681-4690 - [e1]Mark D. Plumbley, Christian Kroos, Juan Pablo Bello, Gaël Richard, Daniel P. W. Ellis, Annamaria Mesaros:
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, DCASE 2018, Surrey, UK, November 19-20, 2018. 2018, ISBN 978-952-15-4262-6 [contents] - [i7]Simon Henriet, Umut Simsekli, Benoit Fuentes, Gaël Richard:
A Generative Model for Non-Intrusive Load Monitoring in Commercial Buildings. CoRR abs/1803.00515 (2018) - [i6]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Weakly Supervised Representation Learning for Unsynchronized Audio-Visual Events. CoRR abs/1804.07345 (2018) - [i5]Umut Simsekli, Çagatay Yildiz, Thanh Huy Nguyen, Gaël Richard, A. Taylan Cemgil:
Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization. CoRR abs/1806.02617 (2018) - [i4]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 abs/1811.04000 (2018) - 2017
- [j53]Thomas Janssoone, Chloé Clavel, Kevin Bailly, Gaël Richard:
Règles d'associations temporelles de signaux sociaux pour la synthèse d'agents conversationnels animés. Application aux attitudes sociales. Rev. d'Intelligence Artif. 31(5): 511-536 (2017) - [j52]Sébastien Fenet, Roland Badeau, Gaël Richard:
Reassigned time-frequency representations of discrete time signals and application to the Constant-Q Transform. Signal Process. 132: 170-176 (2017) - [j51]Karan Nathwani, Gaël Richard, Bertrand David, Pierre Prablanc, Vincent Roussarie:
Speech intelligibility improvement in car noise environment by voice transformation. Speech Commun. 91: 17-27 (2017) - [j50]Simon Durand, Juan Pablo Bello, Bertrand David, Gaël Richard:
Robust Downbeat Tracking Using an Ensemble of Convolutional Networks. IEEE ACM Trans. Audio Speech Lang. Process. 25(1): 72-85 (2017) - [j49]Gaël Richard, Tuomas Virtanen, Juan Pablo Bello, Nobutaka Ono, Hervé Glotin:
Introduction to the Special Section on Sound Scene and Event Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 25(6): 1169-1171 (2017) - [j48]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): 1216-1229 (2017) - [c131]Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard:
Nonnegative Feature Learning Methods for Acoustic Scene Classification. DCASE 2017: 22-26 - [c130]Simon Leglaive, Roland Badeau, Gaël Richard:
Semi-blind student's t source separation for multichannel audio convolutive mixtures. EUSIPCO 2017: 2259-2263 - [c129]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Motion informed audio source separation. ICASSP 2017: 6-10 - [c128]Simon Leglaive, Roland Badeau, Gaël Richard:
Multichannel audio source separation: Variational inference of time-frequency sources from time-domain observations. ICASSP 2017: 26-30 - [c127]Victor Bisot, Slim Essid, Gaël Richard:
Overlapping sound event detection with supervised Nonnegative Matrix Factorization. ICASSP 2017: 31-35 - [c126]Romain Serizel, Victor Bisot, Slim Essid, Gaël Richard:
Supervised group nonnegative matrix factorisation with similarity constraints and applications to speaker identification. ICASSP 2017: 36-40 - [c125]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: 46-50 - [c124]Simon Leglaive, Umut Simsekli, Antoine Liutkus, Roland Badeau, Gaël Richard:
Alpha-stable multichannel audio source separation. ICASSP 2017: 576-580 - [c123]Umut Simsekli, Alain Durmus, Roland Badeau, Gaël Richard, Eric Moulines, A. Taylan Cemgil:
Parallelized Stochastic Gradient Markov Chain Monte Carlo algorithms for non-negative matrix factorization. ICASSP 2017: 2242-2246 - [c122]Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard:
Leveraging deep neural networks with nonnegative representations for improved environmental sound classification. MLSP 2017: 1-6 - [c121]Simon Henriet, Umut Simsekli, Gaël Richard, Benoit Fuentes:
Synthetic dataset generation for non-intrusive load monitoring in commercial buildings. BuildSys@SenSys 2017: 39:1-39:2 - [c120]Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard:
Guiding audio source separation by video object information. WASPAA 2017: 61-65 - [c119]Simon Leglaive, Roland Badeau, Gaël Richard:
Separating time-frequency sources from time-domain convolutive mixtures using non-negative matrix factorization. WASPAA 2017: 264-268 - 2016
- [j47]Xabier Jaureguiberry, Emmanuel Vincent, Gaël Richard:
Fusion Methods for Speech Enhancement and Audio Source Separation. IEEE ACM Trans. Audio Speech Lang. Process. 24(7): 1266-1279 (2016) - [j46]Simon Leglaive, Roland Badeau, Gaël Richard:
Multichannel Audio Source Separation With Probabilistic Reverberation Priors. IEEE ACM Trans. Audio Speech Lang. Process. 24(12): 2453-2465 (2016) - [c118]Simon Leglaive, Roland Badeau, Gaël Richard:
Autoregressive moving average modeling of late reverberation in the frequency domain. EUSIPCO 2016: 1478-1482 - [c117]Simon Durand, Juan Pablo Bello, Bertrand David, Gaël Richard:
Feature adapted convolutional neural networks for downbeat tracking. ICASSP 2016: 296-300 - [c116]Umut Simsekli, Roland Badeau, Gaël Richard, Ali Taylan Cemgil:
Stochastic thermodynamic integration: Efficient Bayesian model selection via stochastic gradient MCMC. ICASSP 2016: 2574-2578 - [c115]Karan Nathwani, Morgane Daniel, Gaël Richard, Bertrand David, Vincent Roussarie:
Formant shifting for speech intelligibility improvement in car noise environment. ICASSP 2016: 5375-5379 - [c114]Romain Serizel, Slim Essid, Gaël Richard:
Group nonnegative matrix factorisation with speaker and session variability compensation for speaker identification. ICASSP 2016: 5470-5474 - [c113]Victor Bisot, Romain Serizel, Slim Essid, Gaël Richard:
Acoustic scene classification with matrix factorization for unsupervised feature learning. ICASSP 2016: 6445-6449 - [c112]Romain Serizel, Victor Bisot, Slim Essid, Gaël Richard:
Machine listening techniques as a complement to video image analysis in forensics. ICIP 2016: 948-952 - [c111]Umut Simsekli, Roland Badeau, A. Taylan Cemgil, Gaël Richard:
Stochastic Quasi-Newton Langevin Monte Carlo. ICML 2016: 642-651 - [c110]Clement Laroche, Hélène Papadopoulos, Matthieu Kowalski, Gaël Richard:
Genre Specific Dictionaries for Harmonic/Percussive Source Separation. ISMIR 2016: 407-413 - [c109]Thomas Janssoone, Chloé Clavel, Kevin Bailly, Gaël Richard:
Using Temporal Association Rules for the Synthesis of Embodied Conversational Agents with a Specific Stance. IVA 2016: 175-189 - [c108]Romain Serizel, Slim Essid, Gaël Richard:
Mini-batch stochastic approaches for accelerated multiplicative updates in nonnegative matrix factorisation with beta-divergence. MLSP 2016: 1-6 - [c107]Alain Durmus, Umut Simsekli, Eric Moulines, Roland Badeau, Gaël Richard:
Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo. NIPS 2016: 2047-2055 - [i3]Simon Durand, Juan Pablo Bello, Bertrand David, Gaël Richard:
Robust Downbeat Tracking Using an Ensemble of Convolutional Networks. CoRR abs/1605.08396 (2016) - 2015
- [j45]Hequn Bai, Gaël Richard, Laurent Daudet:
Late Reverberation Synthesis: From Radiance Transfer to Feedback Delay Networks. IEEE ACM Trans. Audio Speech Lang. Process. 23(12): 2260-2271 (2015) - [j44]Aymeric Masurelle, Ahmed Rida Sekkat, Slim Essid, Gaël Richard:
TPT-Dance&Actions : un corpus multimodal d'activités humaines. Traitement du Signal 32(4): 443-475 (2015) - [c106]Victor Bisot, Slim Essid, Gaël Richard:
HOG and subband power distribution image features for acoustic scene classification. EUSIPCO 2015: 719-723 - [c105]Clement Laroche, Matthieu Kowalski, Hélène Papadopoulos, Gaël Richard:
A structured nonnegative matrix factorization for source separation. EUSIPCO 2015: 2033-2037 - [c104]Camila de Andrade Scatolini, Gaël Richard, Benoit Fuentes:
Multipitch estimation using a PLCA-based model: Impact of partial user annotation. ICASSP 2015: 186-190 - [c103]Simon Durand, Juan Pablo Bello, Bertrand David, Gaël Richard:
Downbeat tracking with multiple features and deep neural networks. ICASSP 2015: 409-413 - [c102]Hequn Bai, Gaël Richard, Laurent Daudet:
Geometric-based reverberator using acoustic rendering networks. WASPAA 2015: 1-5 - [c101]