On the Design and Training Strategies for RNN-based Online Neural Speech Separation Systems

15 June 2022

Papers citing "On the Design and Training Strategies for RNN-based Online Neural Speech Separation Systems"

6 / 6 papers shown

Title
TIGER: Time-frequency Interleaved Gain Extraction and Reconstruction for Efficient Speech Separation Mohan Xu Kai Li Guo Chen Xiaolin Hu 48 0 0 02 Oct 2024
SonicSim: A customizable simulation platform for speech processing in moving sound source scenarios Kai Li Wendi Sang Chang Zeng Runxuan Yang Guo Chen Xiaolin Hu 31 2 0 02 Oct 2024
InstructSing: High-Fidelity Singing Voice Generation via Instructing Yourself Chang Zeng Chunhui Wang Xiaoxiao Miao Jian Zhao Zhonglin Jiang Yong Chen 41 0 0 10 Sep 2024
Real-time Low-latency Music Source Separation using Hybrid Spectrogram-TasNet Satvik Venkatesh Arthur Benilov Philip Coleman Frederic Roskam 37 5 0 27 Feb 2024
A Neural State-Space Model Approach to Efficient Speech Separation Chen Chen Chao-Han Huck Yang Kai Li Yuchen Hu Pin-Jui Ku Chng Eng Siong 34 11 0 26 May 2023
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network Xiaolin Hu Kai Li Weiyi Zhang Yi Luo Jean-Marie Lemercier Timo Gerkmann 49 47 0 04 Dec 2021