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Manuel Pariente
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2020 – today
- 2025
- [j1]Simon Leglaive
, Matthieu Fraticelli, Hend Elghazaly, Léonie Borne, Mostafa Sadeghi, Scott Wisdom, Manuel Pariente, John R. Hershey, Daniel Pressnitzer, Jon P. Barker:
Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge. Comput. Speech Lang. 89: 101685 (2025) - 2024
- [i7]Simon Leglaive, Matthieu Fraticelli, Hend Elghazaly, Léonie Borne, Mostafa Sadeghi, Scott Wisdom, Manuel Pariente, John R. Hershey, Daniel Pressnitzer, Jon P. Barker:
Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge. CoRR abs/2402.01413 (2024) - 2023
- [c7]Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama, Shinji Watanabe, Manuel Pariente, Nobutaka Ono, Stefano Squartini
Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge. ICASSP 2023: 1-2 - [i6]Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama, Shinji Watanabe
Multi-Channel Target Speaker Extraction with Refinement: The WavLab Submission to the Second Clarity Enhancement Challenge. CoRR abs/2302.07928 (2023) - [i5]Simon Leglaive, Léonie Borne, Efthymios Tzinis, Mostafa Sadeghi, Matthieu Fraticelli, Scott Wisdom, Manuel Pariente, Daniel Pressnitzer, John R. Hershey:
The CHiME-7 UDASE task: Unsupervised domain adaptation for conversational speech enhancement. CoRR abs/2307.03533 (2023) - 2022
- [c6]Samuele Cornell, Manuel Pariente, François Grondin, Stefano Squartini
Learning Filterbanks for End-to-End Acoustic Beamforming. ICASSP 2022: 6507-6511 - 2021
- [b1]Manuel Pariente:
Implicit and explicit phase modeling in deep learning-based source separation. (Modélisation implicite et explicite de la phase dans la séparation de sources par apprentissage profond). University of Lorraine, Nancy, France, 2021 - [i4]Samuele Cornell, Manuel Pariente, François Grondin, Stefano Squartini:
Learning Filterbanks for End-to-End Acoustic Beamforming. CoRR abs/2111.04614 (2021) - 2020
- [c5]Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini:
Domain-Adversarial Training and Trainable Parallel Front-End for the DCASE 2020 Task 4 Sound Event Detection Challenge. DCASE 2020: 26-30 - [c4]Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini:
Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation Challenge. DCASE 2020: 31-35 - [c3]Manuel Pariente, Samuele Cornell, Antoine Deleforge, Emmanuel Vincent:
Filterbank Design for End-to-end Speech Separation. ICASSP 2020: 6364-6368 - [c2]Manuel Pariente, Samuele Cornell, Joris Cosentino, Sunit Sivasankaran, Efthymios Tzinis, Jens Heitkaemper, Michel Olvera, Fabian-Robert Stöter, Mathieu Hu, Juan M. Martín-Doñas
Asteroid: The PyTorch-Based Audio Source Separation Toolkit for Researchers. INTERSPEECH 2020: 2637-2641 - [i3]Manuel Pariente, Samuele Cornell, Joris Cosentino, Sunit Sivasankaran, Efthymios Tzinis, Jens Heitkaemper, Michel Olvera, Fabian-Robert Stöter, Mathieu Hu, Juan M. Martín-Doñas, David Ditter, Ariel Frank, Antoine Deleforge, Emmanuel Vincent:
Asteroid: the PyTorch-based audio source separation toolkit for researchers. CoRR abs/2005.04132 (2020)
2010 – 2019
- 2019
- [c1]Manuel Pariente, Antoine Deleforge, Emmanuel Vincent:
A Statistically Principled and Computationally Efficient Approach to Speech Enhancement Using Variational Autoencoders. INTERSPEECH 2019: 3158-3162 - [i2]Manuel Pariente, Antoine Deleforge, Emmanuel Vincent:
A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders. CoRR abs/1905.01209 (2019) - [i1]Manuel Pariente, Samuele Cornell, Antoine Deleforge, Emmanuel Vincent:
Filterbank design for end-to-end speech separation. CoRR abs/1910.10400 (2019)
Coauthor Index
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