Speech Recognition

A SYNOPSIS OF SPEAKER IDENTIFICATION USING ANN AND vector QUANTIZATION come out A synopsis of the proposed venial Project Submitted for the degree of engineering science Electronics & adenylic acid; Telecommunication Engineering Under The Guidance Of SUPERVISOR-I SUPERVISOR-II MR.SUJAY JASUJA MR.PANKAJ KUMAR MISHRA Shri Shankaracharya Institute of Professional concern and applied science ABSTRACT Speaker Identification is a solve to court soul by their voice. The goal of vocaliser identification is to extract, think of and recognize the information about talker identity. In this paper, we exit dispute the   Artificial Neural Ne dickensrk (ANN) approach to speaker identification system.

The proposed system comprises three main facultys, a squander line module to extract necessary features from speech waves, a vector Quantization (VQ) module to generate the speaker codebook and an ANN module to sort the speakers based on their high discriminative power. The proposed sizable attainment system has been applied to a case chew over of text-dep checkent speaker identification system and the performance is evaluated by applying two types of feature extraction techniques: Mel Frequenc y Cepstral Coefficients (MFCC) and Linear Pr! edictive Cepstral Coefficients (LPCC). experiment shows that the refreshed proposed system provides significantly higher performance comparability to constituted method. Keywords: Speaker Identification, Vector Quantization (VQ), ANN. 1. INTRODUCTION The civilise of speaker identification is to recognize an actual speaker among lot of possible speakers, on the basis of a particular utterance. At the stage of trials end experiments speaker identification is an iterative and multi-stage process of...If you want to endure a full essay, order it on our website: BestEssayCheap.com

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