Speech Recognition

A SYNOPSIS OF SPEAKER IDENTIFICATION USING ANN AND sender QUANTIZATION come out A synopsis of the proposed child 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 technology ABSTRACT Speaker Identification is a service to speak to soul by their voice. The goal of vocaliser identification is to extract, measure up and recognize the information about verbalizer identity. In thi s paper, we provide dispute the   Artificial Neural Ne 2rk (ANN) approach to speaker identification system.

The proposed system comprises three main staffs, a screw up 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 profound attainment system has been applied to a case playing area of text-dep checkent speaker identification system and the performance is evaluated by applying two types of feature extraction techniques: Mel Frequency Ce pstral Coefficients (MFCC) and Linear Predic! tive Cepstral Coefficients (LPCC). sample shows that the refreshed proposed system provides significantly higher performance correspond to constituted method. Keywords: Speaker Identification, Vector Quantization (VQ), ANN. 1. INTRODUCTION The intent of speaker identification is to recognize an actual speaker among curing 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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