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NOSE Algorithm for Offline English Speech Interaction Recognition System

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Cyber Security Intelligence and Analytics (CSIA 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 125))

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Abstract

In order to establish an online English speech interactive recognition system, this paper will focus on NOSE algorithm, mainly discuss the basic concepts of NOSE algorithm, and then carry out system design, and finally verify the system. Through the design of this paper, the English speech interaction recognition system based on NOSE algorithm is successfully implemented. The system has stable operation, high recognition accuracy, and can be put into practice.

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Acknowledgement

Science and technology research project of Jiangxi Provincial Department of Education: research and design of speech recognition technology in college oral English teaching system.

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Authors and Affiliations

  1. Jiangxi Teachers College, Yingtan, 335000, China

    Zhengzhong Pan

Authors
  1. Zhengzhong Pan
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Correspondence to Zhengzhong Pan .

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Editors and Affiliations

  1. School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China

    Zheng Xu

  2. Department of Information Systems and Security, College of IT, United Arab Emirates University (UAEU), Abu Dhabi, United Arab Emirates

    Saed Alrabaee

  3. Altair Management Consultants, Madrid, Spain

    Octavio Loyola-González

  4. Department of Info Systems and Cyber Security, University of Texas at San Antonio, San Antonio, TX, USA

    Xiaolu Zhang

  5. Informatics Faculty, Telkom University, Bandung, Indonesia

    Niken Dwi Wahyu Cahyani

  6. Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia

    Nurul Hidayah Ab Rahman

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Pan, Z. (2022). NOSE Algorithm for Offline English Speech Interaction Recognition System. In: Xu, Z., Alrabaee, S., Loyola-González, O., Zhang, X., Cahyani, N.D.W., Ab Rahman, N.H. (eds) Cyber Security Intelligence and Analytics. CSIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 125. Springer, Cham. https://doi.org/10.1007/978-3-030-97874-7_149

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