The state of the art of feature extraction techniques in speech recognition

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.