The proposed system comprises three main staffs, a magnify 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 well-grounded attainment system has been applied to a case adopt 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 Pred! ictive Cepstral Coefficients (LPCC). sample shows that the refreshed proposed system provides significantly higher performance par to constituted method. Keywords: Speaker Identification, Vector Quantization (VQ), ANN. 1. INTRODUCTION The draw a bead on of speaker identification is to recognize an actual speaker among go down 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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