A Robust Speaker Identification Method Based on the Wavelet Filter Banks


The KIPS Transactions:PartC, Vol. 9, No. 4, pp. 459-466, Aug. 2002
10.3745/KIPSTC.2002.9.4.459,   PDF Download:

Abstract

This paper proposes a robust speaker identification algorithm based on the wavelet filter banks and multiple decision-making scheme. Since the proposed speaker identification algorithm has a structure performing the identification algorithm independently for each subband, the noise effect of an subband can be localized. Through this process, we can obtain more robust results for the environmental noises which generally have band limited frequency. In the experiments, the proposed method showed more 15~60% improvement than the vector quantization method for the various noisy environments.


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Cite this article
[IEEE Style]
D. J. Lee, K. C. Kwak, J. W. Ryu, M. G. Chun, "A Robust Speaker Identification Method Based on the Wavelet Filter Banks," The KIPS Transactions:PartC, vol. 9, no. 4, pp. 459-466, 2002. DOI: 10.3745/KIPSTC.2002.9.4.459.

[ACM Style]
Dae Jong Lee, Keun Chang Kwak, Jeong Woong Ryu, and Myung Geun Chun. 2002. A Robust Speaker Identification Method Based on the Wavelet Filter Banks. The KIPS Transactions:PartC, 9, 4, (2002), 459-466. DOI: 10.3745/KIPSTC.2002.9.4.459.