Call For Paper Volume:4 Issue:10 Oct'2017 |

An Empirical Study on Feature Extraction Methods for Speech Recognition

Publication Date : 29/09/2015



Author(s) :

Easwari.N , Dr.P.Ponmuthuramalingam.


Volume/Issue :
Volume 2
,
Issue 9
(09 - 2015)



Abstract :

Speech Recognition is a main idea of human machine interaction which led to this research. Speech recognition refers to the ability of listening spoken words and identifying various sounds present in it, and recognizing them as words of some known language. Speech recognition aims to extract the lexical information from the speech signal independently of the speaker by reducing the inter speaker variability. It is concerned with extracting the identity of the person. This paper describes the technical overview of the feature extraction in Speech Recognition such as their property, advantages and disadvantages. The most important part of the speech recognition system which distinguishes one speech from another is Feature Extraction. Brief notes on Automatic Speech Recognition, Methodologies of Speech Recognition and Word Separation are also discussed.


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An Empirical Study on Feature Extraction Methods for Speech Recognition

August 31, 2015