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Proceedings Paper

Speaker identification based on kernel Ho-Kashyap classifier
Author(s): Adam Dustor
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Paper Abstract

This paper presents application of kernel Ho-Kashyap KHK classifier to speaker identification. Since this classifier achieves very good performance for most benchmark data sets used in machine learning, it was very interesting to check its performance in speaker identification which is a slightly different problem. Comparison of achieved identification accuracy with popular modeling techniques in speaker recognition like Gaussian mixture models and vector quantization is made. All research is based on Polish speech corpus ROBOT, which is designed for testing speech algorithms. Identification results are discussed.

Paper Details

Date Published: 26 April 2006
PDF: 6 pages
Proc. SPIE 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 61594A (26 April 2006); doi: 10.1117/12.674961
Show Author Affiliations
Adam Dustor, Silesian Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 6159:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV
Ryszard S. Romaniuk, Editor(s)

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