MareText Independent Speaker Identification based on K-Mean Algorithm

Provided by: International Journal on Electrical Engineering and Informatics (IJEEI)
Topic: Hardware
Format: PDF
In this paper, the authors propose a text-independent speaker identification system-based on Mel Frequency Cepstral Coefficients (MFCCs) as a feature extraction and vector quantization technique that would minimize the data required for processing. The correlation between the identification success rate and the various parameters of the system including the feature extraction tools and the data minimization technique will be examined. Extracted features of a speaker are quantized by a number of centroids and the K-mean algorithm has been integrated into the proposed speaker identification system.

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