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http://dx.doi.org/10.6109/jkiice.2011.15.12.2521

Speaker Recognition using LPC cepstrum Coefficients and Neural Network  

Choi, Jae-Seung (신라대학교 전자공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.15, no.12, 2011 , pp. 2521-2526 More about this Journal
Abstract
This paper proposes a speaker recognition algorithm using a perceptron neural network and LPC (Linear Predictive Coding) cepstrum coefficients. The proposed algorithm first detects the voiced sections at each frame. Then, the LPC cepstrum coefficients which have speaker characteristics are obtained by the linear predictive analysis for the detected voiced sections. To classify the obtained LPC cepstrum coefficients, a neural network is trained using the LPC cepstrum coefficients. In this experiment, the performance of the proposed algorithm was evaluated using the speech recognition rates based on the LPC cepstrum coefficients and the neural network.
Keywords
Perceptron neural network; Linear predictive analysis; LPC cepstrum coefficient; Speaker recognition;
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