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Algorithm Research & Explore
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131-134

Research on speech recognition based on hybrid attention mechanism

Li Yeliang
Zhang Erhua
Tang Zhenmin
School of Computer Science & Engineering, Nanjing University of Science & Technology, Nanjing 210094, China

Abstract

In speech recognition, the convolution location-based hybrid attention mechanism can not extract location information that can be valid over long term. This paper proposed a new hybrid attention mechanism to solve this problem. Firstly it convolved with the attention score generated for the current time to extract multi-channel features, followed by obtaining the feature vectors of constant dimensions via global average pooling. Then it introduced a LSTM unit as the external memory module and used the generated feature vectors as input to generate the location vectors for the next time point. Finally this paper used the classic LAS model to verify the effect of the new hybrid attention mechanism. Experiment results show that the new hybrid attention mechanism can take full consideration of the attention scores at many past time points. Compared to the convolution location-based LAS model, the label error rate of the proposed scheme on pure and noisy speech datasets is reduced by 1.8% and 2.21%, respectively.

Foundation Support

军委装备发展部“十三五”装备预研基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.06.0492
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 1
Section: Algorithm Research & Explore
Pages: 131-134
Serial Number: 1001-3695(2020)01-027-0131-04

Publish History

[2020-01-05] Printed Article

Cite This Article

李业良, 张二华, 唐振民. 基于混合式注意力机制的语音识别研究 [J]. 计算机应用研究, 2020, 37 (1): 131-134. (Li Yeliang, Zhang Erhua, Tang Zhenmin. Research on speech recognition based on hybrid attention mechanism [J]. Application Research of Computers, 2020, 37 (1): 131-134. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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