Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation

14 October 2019

Papers citing "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation"

7 / 107 papers shown

Title
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 21 151 0 08 May 2020
Separating Varying Numbers of Sources with Auxiliary Autoencoding Loss Yi Luo N. Mesgarani 16 29 0 27 Mar 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
End-to-end Microphone Permutation and Number Invariant Multi-channel Speech Separation Yi Luo Zhuo Chen N. Mesgarani Takuya Yoshioka 11 178 0 30 Oct 2019
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation Daniel Stoller Sebastian Ewert S. Dixon AI4TS 104 588 0 08 Jun 2018
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