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Erschienen in:
AC: An Audio Classifier to Classify Violent Extensive Audios Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

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

verfasst von : Divya Gupta, Poonam Bansal, Kavita Choudhary

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

Verlag: 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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Vorheriges Kapitel Phonetic Transcription Comparison for Emotional Database for Speech Synthesis
Nächstes Kapitel Challenges and Issues in Adopting Speech Recognition
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Metadaten
Titel
The State of the Art of Feature Extraction Techniques in Speech Recognition
verfasst von
Divya Gupta
Poonam Bansal
Kavita Choudhary
Copyright-Jahr
2018
Verlag
Springer Singapore
Buch
Speech and Language Processing for Human-Machine Communications

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

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

Copyright-Jahr: 2018

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

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