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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 2
344-346,361

Speech emotion recognition based on improved genetic algorithm optimized BP neural network

Chen Chuang1
Ryad Chellali1
Xing Yin2
1. College of Electrical Engineering & Control Science, Nanjing Tech University, Nanjing 211816, China
2. College of Geomatics & Geoinformation, Guilin University of Technology, Guilin Guangxi 541004, China
DOI: 10.19734/j.issn.1001-3695.2017.08.0711

Abstract

In order to identify the emotion types in speech signals, this paper proposed an improved genetic algorithm optimized BP neural network(IAGA-BP). This algorithm enhanced the optimization performance of genetic algorithm by improving the selection operator and the adaptive crossover and mutation probability formula, such that optimizing the initial weights and thresholds of the BP neural network. The experimental results show that the IAGA-BP network can effectively improve the recognition rate and speed up the convergence compared with the BP, GA-BP and AGA-BP networks.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.08.0711
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Algorithm Research & Explore
Pages: 344-346,361
Serial Number: 1001-3695(2019)02-006-0344-03

Publish History

[2019-02-05] Printed Article

Cite This Article

陈闯, Ryad Chellali, 邢尹. 改进遗传算法优化BP神经网络的语音情感识别 [J]. 计算机应用研究, 2019, 36 (2): 344-346,361. (Chen Chuang, Ryad Chellali, Xing Yin. Speech emotion recognition based on improved genetic algorithm optimized BP neural network [J]. Application Research of Computers, 2019, 36 (2): 344-346,361. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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