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Speech Recognition Using MATLAB and Cross-Correlation Technique

Author

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  • Ledisi Giok Kabari

    (Ken Saro-Wiwa Polytechnic, Bori, Nigeria)

  • Marcus B. Chigoziri

    (Ignatius Ajuru University of Education, Port Harcourt, Nigeria.)

Abstract

Speech is a prominent communication method among humans, whereas the communication between human and computers were based on text user interface and graphic user interface. Speech recognition is used in almost every security project where you need to speak and tell your password to computer and is also used for automation. This paper demonstrates a model that enhances technological advancement where humans and computers interact via voice user interface. In developing the model, cross correlation was implemented in MATLAB to compare two or more signals and detect the most accurate one of the all. We are actually used cross correlation to find similarity between our recorded Signal files and the testing signal. Thus we were able to develop a model where machines can differentiate between commands and act upon them.

Suggested Citation

  • Ledisi Giok Kabari & Marcus B. Chigoziri, 2019. "Speech Recognition Using MATLAB and Cross-Correlation Technique," European Journal of Engineering and Technology Research, European Open Science, vol. 4(8), pages 1-3, August.
    • Handle: RePEc:epw:ejeng0:v:4:y:2019:i:8:id:61437
    DOI: 10.24018/ejeng.2019.4.8.1437
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