Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks

13 January 2021

Papers citing "Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks"

6 / 6 papers shown

Title
TDFNet: An Efficient Audio-Visual Speech Separation Model with Top-down Fusion Samuel Pegg Kai Li Xiaolin Hu 24 1 0 25 Jan 2024
Deep neural network techniques for monaural speech enhancement: state of the art analysis P. Ochieng 28 21 0 01 Dec 2022
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis Max W. Y. Lam J. Wang Dan Su Dong Yu DiffM 20 92 0 25 Mar 2022
Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation Jing-jing Chen Qi-rong Mao Dong Liu 54 280 0 28 Jul 2020
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation Daniel Stoller Sebastian Ewert S. Dixon AI4TS 101 588 0 08 Jun 2018
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction Zhong-Qiu Wang Jonathan Le Roux DeLiang Wang J. Hershey 88 123 0 26 Apr 2018