WHAM!: Extending Speech Separation to Noisy Environments

WHAM!: Extending Speech Separation to Noisy Environments

2 July 2019

Licheng Richard Zhu

Jonathan Le Roux

Papers citing "WHAM!: Extending Speech Separation to Noisy Environments"

10 / 60 papers shown

Title
Configurable Privacy-Preserving Automatic Speech Recognition Ranya Aloufi Hamed Haddadi David E. Boyle 25 10 0 01 Apr 2021
Single channel voice separation for unknown number of speakers under reverberant and noisy settings Shlomo E. Chazan Lior Wolf Eliya Nachmani Yossi Adi 29 29 0 04 Nov 2020
DESNet: A Multi-channel Network for Simultaneous Speech Dereverberation, Enhancement and Separation Yihui Fu Jian Wu Yanxin Hu Mengtao Xing Lei Xie 20 23 0 04 Nov 2020
Asteroid: the PyTorch-based audio source separation toolkit for researchers Manuel Pariente Samuele Cornell Joris Cosentino S. Sivasankaran Efthymios Tzinis ... Juan M. Martín-Donas David Ditter Ariel Frank Antoine Deleforge Emmanuel Vincent 27 151 0 08 May 2020
Voice Separation with an Unknown Number of Multiple Speakers Eliya Nachmani Yossi Adi Lior Wolf 20 175 0 29 Feb 2020
Wavesplit: End-to-End Speech Separation by Speaker Clustering Neil Zeghidour David Grangier VLM 27 261 0 20 Feb 2020
SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition Lukas Drude Jens Heitkaemper Christoph Boeddeker Reinhold Haeb-Umbach 6 72 0 30 Oct 2019
Filterbank design for end-to-end speech separation Manuel Pariente Samuele Cornell Antoine Deleforge Emmanuel Vincent 26 69 0 23 Oct 2019
WHAMR!: Noisy and Reverberant Single-Channel Speech Separation Matthew Maciejewski Gordon Wichern E. McQuinn Jonathan Le Roux 16 180 0 22 Oct 2019
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction Zhong-Qiu Wang Jonathan Le Roux DeLiang Wang J. Hershey 96 123 0 26 Apr 2018