Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 6
1749-1752,1759

Robust target speaker speech separation algorithm

Zhang Xin1
Fu Zhonghua1,2
1. School of Computer, Northwestern Polytechnical University, Xi'an 710129, China
2. Xi'an Iflytek Super-Brain Information Technology Co. , Ltd. , Xi'an 710076, China
DOI: 10.19734/j.issn.1001-3695.2021.09.0444

Abstract

The aim of target speaker's speech separation is to extract one's speech from a mixture speech consisted of multiple speakers, which is guided by an eigenvector. There are two ways to get the eigenvector, one is to use a one-hot vector, another is to adaptively generate an embedding containing the target speaker's characteristic form a classification neural network. The advantage of using one-hot vector is that it can achieve perfect performance during the training process, while it cannot handle the unseen speakers beyond the training set. The advantage of using embedded vectors is that it loses part of the training effect, but it has a good generalization effect on unseen speakers. In order to solve the shortcomings of singlehandedly using one-hot vector or embedding vector in specific speaker speech separation algorithm, this paper proposed a hybrid training method. It used the one-hot vector and embedding vector alternately as the identity feature vector of target speakers. By mapping one-hot and embedding into public space, the proposed method could achieve a good generation effect while ensuring the training effect. The experimental results show that the proposed method achieves more than 10 dB SDR improvement on unseen speakers' speech separation.

Foundation Support

科技创新2030-“新一代人工智能”重大项目(2018AAA0103100)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.09.0444
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 6
Section: Algorithm Research & Explore
Pages: 1749-1752,1759
Serial Number: 1001-3695(2022)06-025-1749-04

Publish History

[2021-12-17] Accepted Paper
[2022-06-05] Printed Article

Cite This Article

张新, 付中华. 鲁棒的特定人语音分离算法 [J]. 计算机应用研究, 2022, 39 (6): 1749-1752,1759. (Zhang Xin, Fu Zhonghua. Robust target speaker speech separation algorithm [J]. Application Research of Computers, 2022, 39 (6): 1749-1752,1759. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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