Single‐Channel Speech Separation Based on Non‐negative Matrix Factorization and Factorial Conditional Random Field-Reference-Cited by-同舟云学术

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Single‐Channel Speech Separation Based on Non‐negative Matrix Factorization and Factorial Conditional Random Field

Published:2018-09 Issue:5 Volume:27 Page:1063-1070
ISSN:1022-4653
Container-title:Chinese Journal of Electronics
language:en
Short-container-title:Chin. j. electron.

Author:

LI Xu¹,TU Ming²,WANG Xiaofei¹,WU Chao¹,FU Qiang¹,YAN Yonghong¹³

Affiliation:

1. Key Laboratory of Speech Acoustics and Content UnderstandingInstitute of AcousticsChinese Academy of SciencesBeijing100190China

2. Signal Analysis Representation and Perception LaboratoryArizona State UniversityTempe85281USA

3. Xinjiang Laboratory of Minority Speech and Language Information ProcessingUrumqi830011China

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cje.2018.06.016

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Single-channel Speech Separation Based on Double-density Dual-tree CWT and SNMF;Annals of Emerging Technologies in Computing;2024-01-01

2. Integrated Classification Algorithm for Unbalanced Data Streams Based on Joint Nonnegative Matrix Factorization;Wireless Communications and Mobile Computing;2022-06-14

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