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Comparison of linear predictive analysis methods for ANN-based speaker identification

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5 Author(s)
M. Inal ; Dept. of Electron. & Comput. Educ., Kocaeli Univ., Japan ; E. Butun ; K. Erkan ; M. Yildirum
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This paper studies the parametrization of speech using linear predictive (LP) analysis and its application to speaker identification. The task of speaker classification is realized using multilayer perceptron. The system is evaluated on speaker set for speaker identification. The system is also tested with cepstral and reflection coefficients, and the results obtained are compared

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Neural Network Applications in Electrical Engineering, 2000. NEUREL 2000. Proceedings of the 5th Seminar on

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