Manuel Pariente

16 papers A 2Misc 3Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge. Comput. Speech Lang. Simon Leglaive, Matthieu Fraticelli, Hend Elghazaly, Léonie Borne, Mostafa Sadeghi, Scott Wisdom, Manuel Pariente, John R. Hershey, Daniel Pressnitzer, Jon P. Barker
2024	J	`jnl`	Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge. CoRR Simon Leglaive, Matthieu Fraticelli, Hend Elghazaly, Léonie Borne, Mostafa Sadeghi, Scott Wisdom, Manuel Pariente, John R. Hershey, Daniel Pressnitzer, Jon P. Barker
2023	Misc	`conf`	Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge. ICASSP Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama, Shinji Watanabe, Manuel Pariente, Nobutaka Ono, Stefano Squartini
2023	J	`jnl`	Multi-Channel Target Speaker Extraction with Refinement: The WavLab Submission to the Second Clarity Enhancement Challenge. CoRR Samuele Cornell, Zhong-Qiu Wang, Yoshiki Masuyama, Shinji Watanabe, Manuel Pariente, Nobutaka Ono
2023	J	`jnl`	The CHiME-7 UDASE task: Unsupervised domain adaptation for conversational speech enhancement. CoRR Simon Leglaive, Léonie Borne, Efthymios Tzinis, Mostafa Sadeghi, Matthieu Fraticelli, Scott Wisdom, Manuel Pariente, Daniel Pressnitzer, John R. Hershey
2022	Misc	`conf`	Learning Filterbanks for End-to-End Acoustic Beamforming. ICASSP Samuele Cornell, Manuel Pariente, François Grondin, Stefano Squartini
2021	—	`—`	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). Manuel Pariente
2021	J	`jnl`	Learning Filterbanks for End-to-End Acoustic Beamforming. CoRR Samuele Cornell, Manuel Pariente, François Grondin, Stefano Squartini
2020	A	`conf`	Asteroid: The PyTorch-Based Audio Source Separation Toolkit for Researchers. INTERSPEECH 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
2020	J	`jnl`	Asteroid: the PyTorch-based audio source separation toolkit for researchers. CoRR 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
2020	—	`conf`	Domain-Adversarial Training and Trainable Parallel Front-End for the DCASE 2020 Task 4 Sound Event Detection Challenge. DCASE Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini
2020	Misc	`conf`	Filterbank Design for End-to-end Speech Separation. ICASSP Manuel Pariente, Samuele Cornell, Antoine Deleforge, Emmanuel Vincent
2020	—	`conf`	Task-Aware Separation for the DCASE 2020 Task 4 Sound Event Detection and Separation Challenge. DCASE Samuele Cornell, Michel Olvera, Manuel Pariente, Giovanni Pepe, Emanuele Principi, Leonardo Gabrielli, Stefano Squartini
2019	A	`conf`	A Statistically Principled and Computationally Efficient Approach to Speech Enhancement Using Variational Autoencoders. INTERSPEECH Manuel Pariente, Antoine Deleforge, Emmanuel Vincent
2019	J	`jnl`	A Statistically Principled and Computationally Efficient Approach to Speech Enhancement using Variational Autoencoders. CoRR Manuel Pariente, Antoine Deleforge, Emmanuel Vincent
2019	J	`jnl`	Filterbank design for end-to-end speech separation. CoRR Manuel Pariente, Samuele Cornell, Antoine Deleforge, Emmanuel Vincent