Speech Separation Using Augmented-Discrimination Learning on Squash-Norm Embedding Vector and Node Encoder-Reference-Cited by-同舟云学术

Speech Separation Using Augmented-Discrimination Learning on Squash-Norm Embedding Vector and Node Encoder

Published:2022 Issue: Volume:10 Page:102048-102063
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Tan Ha Minh¹,Liang Kai-Wen¹,Lee Yuan-Shan¹,Li Chung-Ting²,Li Yung-Hui²,Wang Jia-Ching¹^ORCID

Affiliation:

1. Department of Computer Science and Information Engineering, National Central University, Taoyuan, Taiwan

2. AI Research Center, Hon Hai Research Institute, Taipei, Taiwan

Funder

MOST

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09815249.pdf?arnumber=9815249

Reference70 articles.

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4. Dual-Path RNN: Efficient Long Sequence Modeling for Time-Domain Single-Channel Speech Separation

5. LaFurca: Iterative context-aware end-to-end monaural speech separation based on dual-path deep parallel inter-intra bi-LSTM with attention;shi;arXiv 2001 08998,2020

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