A Study On Efficient Automatic Speech Recognition System Techniques And Algorithms

Journal Title: Annals. Computer Science Series - Year 2018, Vol 16, Issue 2

Abstract

Automatic speech recognition is a system by which computer recognizes and responds accordingly to a spoken words of a person on the basis of his or her voice signal waveform. ASR system is being adopted in different aspects of life, such as telephones and home computer control system. Despite their growing presence, a proper technique for efficient ASR system remains a major issue for researchers. This study explains an analysis of different techniques and algorithms that can be used in ASR system such as LPC, LPCC, PLP, MFCC for feature extraction and DTW, SVM, HMM, VQ, GMM, MLP, ANN, KNN for feature classification and pattern recognition.

Authors and Affiliations

Yakubu Aliyu IBRAHIM, Tunji Samuel IBIYEMI

Keywords

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  • EP ID EP540280
  • DOI -
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How To Cite

Yakubu Aliyu IBRAHIM, Tunji Samuel IBIYEMI (2018). A Study On Efficient Automatic Speech Recognition System Techniques And Algorithms. Annals. Computer Science Series, 16(2), 61-68. https://europub.co.uk/articles/-A-540280