A Survey of Feature Extraction Techniques for Automatic Speech Recognition System

Authors

  • Shweta Rathore Research Scholar, Madhyanchal Professional University Bhopal(M.P.)
  • Dr. Md. Vaseem Naiyer Research Guidde, Madhyanchal Professional University Bhopal(M.P.)

Keywords:

feature extraction techniques, automatic speech recognition system, voice recognition, biometric identification system, sophisticated applications, components of ASR, Mel Frequency Cepstral Coefficient, distance measurement

Abstract

Voice recognition is one of the key evolutions of biometric identification system which notonly have identification capability but this technology can be used to create more sophisticatedapplications. This paper reviews the methodology for extracting features from speech signal. In thispaper we have discussed the Components of ASR and Mel Frequency Cepstral CoefficientMFCC,Distance Measurement with Automatic Speech Recognition System(ASR)

References

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Published

2023-10-01

How to Cite

[1]
“A Survey of Feature Extraction Techniques for Automatic Speech Recognition System”, JASRAE, vol. 20, no. 4, pp. 148–151, Oct. 2023, Accessed: Sep. 19, 2024. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/14527

How to Cite

[1]
“A Survey of Feature Extraction Techniques for Automatic Speech Recognition System”, JASRAE, vol. 20, no. 4, pp. 148–151, Oct. 2023, Accessed: Sep. 19, 2024. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/14527