Speaker Recognition by Applying DWT Method with Different Speaker

Kanak Lata, Ravinder Kumar

Abstract


Speaker recognition is the computing task of validating a user's claimed identity using characteristics extracted from their voices. Voice -recognition is combination of the two where it uses learned aspects of a speaker’s voice to determine what is being said - such a system cannot recognize speech from random speakers very accurately, but it can reach high accuracy for individual voices it has been trained with, which gives us various applications in day today life. The design of speech recognition system require careful attentions to the challenges or issue such as definition of various types of speech classes, speech representation, feature extraction techniques, database and performance evaluation. This paper gives an overview of major technological perspective and appreciation of the fundamental study of speaker recognition and gives overview technique developed in each stage of speech recognition and also summarize and compare different speech recognition systems and identify research topics and applications which are at the forefront of this exciting and challenging field.

Keywords


Speech Recognition; Speaker recognition; LPC; HMM; DTW; Voice Testing

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Copyright (c) 2015 Kanak Lata, Ravinder Kumar

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