The proposed system comprises trine main staffs, a muff line staff 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 healthy attainment system has been apply to a case news report of text-dep checkent speaker identification system and the performance is evaluated by applying two types of feature extraction techniques: Mel relative frequency Cepstral Coefficients (MFCC) and Linear Predictive Cepstral Coefficients (LPCC). prove shows that the refreshed proposed system provides significantly higher performance discriminate to constituted method. Keywords: Speaker Identification, sender Quantization (VQ), ANN. 1. INTRODUCTION The aim of speaker identification is to recognize an demonstrable speaker among set of likely speakers, on the basis of a particular utterance. At the stop of trials end experiments speaker identification is an iterative and multi-stage process of...If you compulsion to endure a to the full essay, order it on our website: Orderessay
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