Research on Speaker Recognition Based on Wavelet Analysis and Search Tree

Bo Gao; Zi Ming Kou; Hong Wei Yan

doi:10.4028/www.scientific.net/AMR.159.68

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 159Research on Speaker Recognition Based on Wavelet...

Research on Speaker Recognition Based on Wavelet Analysis and Search Tree

Abstract:

Speaker Recognition (SR) is an important branch of speech recognition. The current speech signal processing in SR uses short-time processing technique, namely assuming speech signals are short-time stationary. But in fact, the speech signal is non-stationary. The wavelet analysis is a kind of new analyzing tool and is suitable for analyzing non-stationary signal, which has achieved impressive results in the field of signal coding. Based on this, the wavelet analysis theory was introduced into SR research to improve the traditional speech segmentation methods and characteristics parameters. In order to speed the recognition, a kind of SR model based on search tree was also brought out.

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Periodical:

Advanced Materials Research (Volume 159)

Pages:

68-71

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.159.68

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Online since:

December 2010

Authors:

Bo Gao, Zi Ming Kou, Hong Wei Yan

Keywords:

Search Tree, Speaker Recognition, Speech Recognition, Wavelet Analysis

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