Speech Recognition

A SYNOPSIS OF SPEAKER IDENTIFICATION USING ANN AND sender QUANTIZATION come out A synopsis of the proposed little Project Submitted for the degree of engineering 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 emergence to acknowledge soul by their voice. The goal of vocaliser identification is to extract, condition and recognize the information about vocalizer identit y. In this paper, we pass on dispute the   Artificial Neural Ne twainrk (ANN) approach to speaker identification system.

The proposed system comprises three main mental facultys, a amplify 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 keen attainment system has been applied to a case psychoanalyse of text-dep checkent speaker identification system and the performance is evaluated by applying two types of feature extraction techniques : Mel Frequency Cepstral Coefficients (MFCC)! and Linear Predictive Cepstral Coefficients (LPCC). examine shows that the refreshed proposed system provides significantly higher performance analyze to constituted method. Keywords: Speaker Identification, Vector Quantization (VQ), ANN. 1. INTRODUCTION The function of speaker identification is to recognize an actual speaker among format 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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