Experimental Research on Signal Recognition Algorithm of Wireless Sensor Language

Authors

  • Harhenbek Muhaxov School of Computer science and technology, Wuhan University of technology; Arts Department, Xinjiang Applied Vocational Technical College
  • Zhong Lou School of Computer science and technology, Wuhan University of technology
  • Wang Li Department of Radio Navigation, Dalian Air Force Communications NCO School
  • Tolewbek Samet Altay radio and television university
  • Aheyeh Harhenbek School of Computer science and technology, University of Science and Technology of China

DOI:

https://doi.org/10.3991/ijoe.v12i10.6203

Keywords:

Wireless sensor, language recognition, voice features, support vector machine principle

Abstract


In the past several decades, much research has been carried out on the wireless sensor network which is widely used in the fields of national defense and national economy within China. The main function of the language sensor is to transfer the voice signal into an electrical signal so as to facilitate the subsequent analysis and processing. Combined with the wireless network signal, it is widely used in banks, shopping malls, examination rooms, prisons, important places of military affairs and other places. This paper makes a detailed introduction of some theoretical knowledge of language recognition and puts forward the recognition algorithm in which the language signal is abstracted by language features. Afterwards, Matlab is used to make simulation in-depth research and classification based on Support Vector Machine. Finally, a large number of samples are collected for the experiment so as to research the effect of weighted feature value and structure of classification on speech recognition rate. The conclusion of the paper provides a basis for further subsequent theoretical study.

Author Biographies

Harhenbek Muhaxov, School of Computer science and technology, Wuhan University of technology; Arts Department, Xinjiang Applied Vocational Technical College

Harhenbek Muhaxov is an associate professor in Xinjiang Applied Vocational Technical College. His research directions are turbo coding and decoding, neural networks and their applications and wireless communications.

Zhong Lou, School of Computer science and technology, Wuhan University of technology

Zhong lou, is a professor in Wuhan University of technology. His research directions are intelligent method and intelligent systems, knowledge discovery and data mining, software engineering techniques and approaches.

Wang Li, Department of Radio Navigation, Dalian Air Force Communications NCO School

Wang Li is a lecture in department of Radio Navigation, Dalian Air Force Communications NCO School. Her research directions are radio navigation, system integration and intelligent method.

Tolewbek Samet, Altay radio and television university

Tolewbek Samet is an associate professor in Altay radio and Television University. His research directions are computer application technology.

Aheyeh Harhenbek, School of Computer science and technology, University of Science and Technology of China

Aheyeh Harhenbek is an undergraduate in school of Computer science and technology, University of Science and Technology of China. His research directions is Speech information processing.

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Published

2016-10-31

How to Cite

Muhaxov, H., Lou, Z., Li, W., Samet, T., & Harhenbek, A. (2016). Experimental Research on Signal Recognition Algorithm of Wireless Sensor Language. International Journal of Online and Biomedical Engineering (iJOE), 12(10), pp. 38–44. https://doi.org/10.3991/ijoe.v12i10.6203

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Section

Papers