Towards Solving Cocktail-Party: The First Method to Build a Realistic Dataset with Ground Truths for Speech Separation

25 May 2023

Papers citing "Towards Solving Cocktail-Party: The First Method to Build a Realistic Dataset with Ground Truths for Speech Separation"

4 / 4 papers shown

Title
TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation Zhong-Qiu Wang Samuele Cornell Shukjae Choi Younglo Lee Byeonghak Kim Shinji Watanabe 74 97 0 08 Sep 2022
Remix-cycle-consistent Learning on Adversarially Learned Separator for Accurate and Stable Unsupervised Speech Separation Kohei Saijo Tetsuji Ogawa 21 9 0 26 Mar 2022
Training Noisy Single-Channel Speech Separation With Noisy Oracle Sources: A Large Gap and A Small Step Matthew Maciejewski Jing Shi Shinji Watanabe Sanjeev Khudanpur 23 11 0 23 Oct 2020
Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation Jing-jing Chen Qi-rong Mao Dong Liu 62 280 0 28 Jul 2020