Study of the Performance of Speech Recognition Algorithms and Improving the Efficiency of Less-recognition Algorithms

Authors

  • Serar Hammoud Tishreen University

Keywords:

speech recognition, features extraction, BFCC algorithm, LPCC algorithm, PLP algorithm, BFCC algorithm , HMM classifier.

Abstract

 

      In this research I compare performance of famous algorithms of feature extraction in speech recognition  MFCC,BFCC,LPCC and PLP, and improving the performance of less recognition algorithms by combination of them to get better time and recognition, despite of the diversity of these methods. Four systems were used for speech recognition, they differ in the used methods during features extraction, the first system used MFCC algorithm, the second system used LPCC algorithm, the third system used BFCC algorithm,and the fourth system used PLP algorithm .The systems used HMM as classifier.I compare results to improvement performance of  less recognition algorithms by the combination algorithm. The results were satisfactory in accordance to the improvement level, the effect of increasing the features number on recognition results were studied .

Author Biography

Serar Hammoud, Tishreen University

Work Supervisor, Department Computer and Automatic Control Engineering, Faculty of Mechanical and Electrical Engineering

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Published

2021-09-21

How to Cite

1.
حمود س. Study of the Performance of Speech Recognition Algorithms and Improving the Efficiency of Less-recognition Algorithms . Tuj-eng [Internet]. 2021Sep.21 [cited 2024Nov.24];43(4). Available from: https://journal.tishreen.edu.sy/index.php/engscnc/article/view/10921

Issue

Vol. 43 No. 4 (2021): Tishreen University Journal of Research and Scientific Studies - Engineering Sciences Series

Section

Articles

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Copyright (c) 2021 ttps://creativecommons.org/licenses/by-nc-sa/4.0/

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