A Two-Stage Phase-Aware Approach for Monaural Multi-Talker Speech Separation-Reference-Cited by-同舟云学术

A Two-Stage Phase-Aware Approach for Monaural Multi-Talker Speech Separation

Published:2020-07-01 Issue:7 Volume:E103.D Page:1732-1743
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

YIN Lu¹²,LI Junfeng¹²,YAN Yonghong¹²³,AKAGI Masato⁴

Affiliation:

1. University of Chinese Academy of Sciences

2. Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Chinese Academy of Sciences

3. Xinjiang Laboratory of Minority Speech and Language Information Processing, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences

4. Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E103.D/7/E103.D_2019EDP7259/_pdf

Reference56 articles.

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2. [2] M.N. Schmidt and R.K. Olsson, “Single-channel speech separation using sparse non-negative matrix factorization,” The International Conference on Spoken Language Processing, pp.2614-2617, 2006.

3. [3] F. Weninger, J.L. Roux, J.R. Hershey, and S. Watanabe, “Discriminative NMF and its application to single-channel source separation,” INTERSPEECH, pp.865-869, 2014.

4. [4] J.L. Roux, J.R. Hershey, and F. Weninger, “Deep NMF for speech separation,” 2015 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.66-70, 2015. 10.1109/icassp.2015.7177933

5. [5] G.J. Brown and D.L. Wang, Separation of Speech by Computational Auditory Scene Analysis, Springer Berlin Heidelberg, 2005. 10.1007/3-540-27489-8_16

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