Study of Speaker Recognition Based on Multiclass Core Vector Machine

Jian Wang; Yuan Yuan Zhang

doi:10.4028/www.scientific.net/AMR.706-708.1915

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 706-708Study of Speaker Recognition Based on Multiclass...

Study of Speaker Recognition Based on Multiclass Core Vector Machine

Abstract:

In the process of speaker recognition, specific algorithm is adopted to classify differentspeakers. In this paper, Multiclass Core Vector Machine (MCVM) is used to the solve speakerrecognition problem. At first, CVM transform quadratic programming of traditional SVM into theMinimum Enclosing Ball (MEB) problem, which significantly reduces the complexity ofcomputation and then, defining an SVM with vector valued output. At last, Experimental results showthat the algorithm is feasible and effective for speaker recognition.

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Periodical:

Advanced Materials Research (Volumes 706-708)

Pages:

1915-1918

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.706-708.1915

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Online since:

June 2013

Authors:

Jian Wang, Yuan Yuan Zhang

Keywords:

Minimum Enclosing Ball, Multiclass Core Support Vector Machine

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References

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