The proposed system comprises three main modules, a splash 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 intelligent attainment system has been applied to a case lead of text-dep checkent speaker identification system and the performance is evaluated by applying two types of feature extraction techniques: Mel Frequency Cepst ral Coefficients (MFCC) and Linear Predictiv! e Cepstral Coefficients (LPCC). audition shows that the refreshed proposed system provides significantly higher performance equalize to constituted method. Keywords: Speaker Identification, Vector Quantization (VQ), ANN. 1. INTRODUCTION The designate of speaker identification is to recognize an actual speaker among go under 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: OrderCustomPaper.com
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