Speaker identification based on kernel Ho-Kashyap classifier

Adam Dustor

doi:10.1117/12.674961

26 April 2006 Speaker identification based on kernel Ho-Kashyap classifier

Adam Dustor

Proceedings Volume 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV; 61594A (2006) https://doi.org/10.1117/12.674961
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 2005, Wilga, Poland

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.

Citation Download Citation

Adam Dustor "Speaker identification based on kernel Ho-Kashyap classifier", Proc. SPIE 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 61594A (26 April 2006); https://doi.org/10.1117/12.674961

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