Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 4
1044-1050

Automatic recognition of schizophrenia based on speech fluency and fuzzy clustering

Zhou Geyi1
Tian Ting1
Wang Ningyuan1
Deng Lihua1
He Ling1
Li Yuanyuan2
1. College of Electrical Engineering, Sichuan University, Chengdu 610065, China
2. West China Hospital Psychological Health Center, Sichuan University, Chengdu 610041, China
DOI: 10.19734/j.issn.1001-3695.2020.04.0107

Abstract

Clinically, the diagnosis of schizophrenia has the problems of long diagnosis cycle and lack of objective diagnosis basis. This paper proposed a new algorithm. Combined with the characteristics of low fluency and gentle energy of schizophrenic speech, the algorithm proposed the speech fluency rectangle parameter. Then the use of fuzzy clustering based two-step location algorithm could locate the pause area of schizophrenia speech. Finally, with SVM(support vector machine) classifier, the algorithm could realize the recognition of schizophrenic speech automatically. This paper tested the speech samples collected by 28 schizophrenic patients and 28 normal controls. The automatic detection accuracy of schizophrenia is over 85%. The experiment results indicate that this method can provide objective, effective and non-invasive auxiliary basis for clinical diagnosis of schizophrenia.

Foundation Support

成都市科技惠民技术研发项目(2015-HM01-00430-SF)
国家自然基金青年科学基金资助项目(61503264)
四川大学创新火花库项目(2082604401189)
四川省科技厅项目(2019YFS0236)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.04.0107
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 4
Section: Algorithm Research & Explore
Pages: 1044-1050
Serial Number: 1001-3695(2021)04-015-1044-07

Publish History

[2021-04-05] Printed Article

Cite This Article

周格屹, 田婷, 王宁远, 等. 基于语音流畅度与模糊聚类的精神分裂症自动识别 [J]. 计算机应用研究, 2021, 38 (4): 1044-1050. (Zhou Geyi, Tian Ting, Wang Ningyuan, et al. Automatic recognition of schizophrenia based on speech fluency and fuzzy clustering [J]. Application Research of Computers, 2021, 38 (4): 1044-1050. )

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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