Two-Step Sound Source Separation: Training on Learned Latent Targets

22 October 2019

Papers citing "Two-Step Sound Source Separation: Training on Learned Latent Targets"

8 / 8 papers shown

Title
Deep neural network techniques for monaural speech enhancement: state of the art analysis P. Ochieng 28 21 0 01 Dec 2022
Latent Iterative Refinement for Modular Source Separation Dimitrios Bralios Efthymios Tzinis G. Wichern Paris Smaragdis Jonathan Le Roux BDL 33 5 0 22 Nov 2022
AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation Efthymios Tzinis Scott Wisdom Tal Remez J. Hershey 39 29 0 20 Jul 2022
FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement Jun Chen Zehao Wang Deyi Tuo Zhiyong Wu Shiyin Kang Helen Meng 24 107 0 23 Mar 2022
What's All the FUSS About Free Universal Sound Separation Data? Scott Wisdom Hakan Erdogan D. Ellis Romain Serizel Nicolas Turpault Eduardo Fonseca Justin Salamon Prem Seetharaman J. Hershey 27 81 0 02 Nov 2020
Attention is All You Need in Speech Separation Cem Subakan Mirco Ravanelli Samuele Cornell Mirko Bronzi Jianyuan Zhong 45 537 0 25 Oct 2020
Sudo rm -rf: Efficient Networks for Universal Audio Source Separation Efthymios Tzinis Zhepei Wang Paris Smaragdis 30 127 0 14 Jul 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