Manuel Pariente
Manuel Pariente
INRIA Nancy - UniversitÚ de Lorraine
Verified email at inria.fr
Title
Cited by
Cited by
Year
Asteroid: the PyTorch-based audio source separation toolkit for researchers
M Pariente, S Cornell, J Cosentino, S Sivasankaran, E Tzinis, ...
Interspeech, 2637-2641, 2020
43*2020
LibriMix: An Open-Source Dataset for Generalizable Speech Separation
J Cosentino, M Pariente, S Cornell, A Deleforge, E Vincent
arXiv preprint arXiv:2005.11262, 2020
342020
Asteroid: the PyTorch-based audio source separation toolkit for researchers
M Pariente, S Cornell, J Cosentino, S Sivasankaran, E Tzinis, ...
arXiv preprint arXiv:2005.04132, 2020
322020
Filterbank design for end-to-end speech separation
M Pariente, S Cornell, A Deleforge, E Vincent
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech andá…, 2020
262020
A statistically principled and computationally efficient approach to speech enhancement using variational autoencoders
M Pariente, A Deleforge, E Vincent
arXiv preprint arXiv:1905.01209, 2019
152019
The univpm-inria systems for the dcase 2020 task 4
S Cornell, G Pepe, E Principi, M Pariente, M Olvera, L Gabrielli, ...
DCASE2020 Challenge, Tech. Rep., 2020
42020
Predictive denoising of speech in noise using deep neural networks
M Pariente, D Pressnitzer
The Journal of the Acoustical Society of America 142 (4), 2611-2611, 2017
42017
Domain-Adversarial Training and Trainable Parallel Front-end for the DCASE 2020 Task 4 Sound Event Detection Challenge
S Cornell, M Olvera, M Pariente, G Pepe, E Principi, L Gabrielli, ...
DCASE 2020-5th Workshop on Detection and Classification of Acoustic Scenesá…, 2020
22020
Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation Challenge
S Cornell, M Olvera, M Pariente, G Pepe, E Principi, L Gabrielli, ...
DCASE 2020-5th Workshop on Detection and Classification of Acoustic Scenesá…, 2020
12020
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