Research on Text-Related Speaker Recognition Based on First Order Differential

Feng Zhao

doi:10.4028/www.scientific.net/AMR.998-999.907

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 998-999Research on Text-Related Speaker Recognition Based...

Research on Text-Related Speaker Recognition Based on First Order Differential

Abstract:

LPCC and MFCC are methods of extracting voice characteristic, and they are based on pronunciation models and human auditory characteristics. In this paper, both of the two characteristics are used, LPCC and the First Order Differential are used to describe the dynamic changes of speaker channels; MFCC and the First Order Differential are used to describe the audible frequency characteristics of human ears, and the characteristics of input voice are extracted by using Speech Processing Toolbox in MATLAB, and VQ and HMM are combined to applying to speaker recognition, and the experiment result showed that the performance of the speak recognition is obviously improved.

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Periodical:

Advanced Materials Research (Volumes 998-999)

Pages:

907-910

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.998-999.907

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Online since:

July 2014

Authors:

Feng Zhao*

Keywords:

First Order Differential, HMM, MATLAB, Speaker Recognition, VQ

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* - Corresponding Author

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