English

Abstract

This paper presents the effective and robust method for the feature extraction of the speaker dependent voice recognition. The authors developed a simple Matlab program for this purpose where the article discrete wavelet transform theory had been used. The voice of set of speakers had been inputted on the database and the discrete wavelet transform calculates the properties and variables needed in order to verify correctly the speaker. Experimental results show that our method is very effective and the results are satisfactory and finally, the wavelet-based voice recognition system and its performance are discussed and highlighted. Keywords—Speaker dependent, Voice recognition, Discrete wavelet transform every entry in an already stored code book database to recognize the voice said after the noise/silence removal, and (c) to use discrete wavelet transform (DWT) algorithm for the feature extraction for the recognition of a particular type of word spoken in the system. This paper is specifically limited to a speaker dependent voice recognition system and the method therein presented. The paper is organized as it follows: The section II briefly presents the fundamentals of the speech recognition, and discrete wavelet transform, Under the Section III experimental results are carried out in order to verify also the effectiveness of the proposed method. Conclusion ends the paper at Section IV.