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2018 | OriginalPaper | Chapter

The State of the Art of Feature Extraction Techniques in Speech Recognition

Authors : Divya Gupta, Poonam Bansal, Kavita Choudhary

Published in: Speech and Language Processing for Human-Machine Communications

Publisher: Springer Singapore

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Abstract

This paper surveys feature extraction techniques applied in automatic speech recognition. After so many researches and improvement, the accuracy is a key issue in speech recognition systems. Speech recognition process converts the speech signal into its corresponding written text by the computer system. In this paper, we brief few well-known techniques of feature extraction like LPC, MFCC, RASTA, PCA, LDA, PLP.

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previous chapter Phonetic Transcription Comparison for Emotional Database for Speech Synthesis
next chapter Challenges and Issues in Adopting Speech Recognition
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Metadata
Title
The State of the Art of Feature Extraction Techniques in Speech Recognition
Authors
Divya Gupta
Poonam Bansal
Kavita Choudhary
Copyright Year
2018
Publisher
Springer Singapore
Book
Speech and Language Processing for Human-Machine Communications

Print ISBN: 978-981-10-6625-2

Electronic ISBN: 978-981-10-6626-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-6626-9_22