Research of speaker recognition based on combination of LPCC and MFCC

Spearker recognition used widely in our lives is an important branch of authenticating automatically a speaker's identity based on human biological feature. Linear Prediction Cepstrum Coefficient (LPCC) and Mel Frequency Cepstrum Coefficient (MFCC) are used as the features for text-independent...

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Published in2010 IEEE International Conference on Intelligent Computing and Intelligent Systems Vol. 3; pp. 765 - 767
Main Authors Yuan Yujin, Zhao Peihua, Zhou Qun
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2010
Subjects
DTW
Humans
LPCC
Mel frequency cepstral coefficient
MFCC
speaker recognition
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ISBN9781424465828
1424465826
DOI10.1109/ICICISYS.2010.5658337

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Abstract Spearker recognition used widely in our lives is an important branch of authenticating automatically a speaker's identity based on human biological feature. Linear Prediction Cepstrum Coefficient (LPCC) and Mel Frequency Cepstrum Coefficient (MFCC) are used as the features for text-independent speaker recognition in this system. And the experiments compare the recognition rate of LPCC, MFCC or the combination of LPCC and MFCC through using Vector Quantization (VQ) and Dynamic Time Warping (DTW) to recognize a speaker's identity. It proves that the combination of LPCC and MFCC has a higher recognition rate.
AbstractList Spearker recognition used widely in our lives is an important branch of authenticating automatically a speaker's identity based on human biological feature. Linear Prediction Cepstrum Coefficient (LPCC) and Mel Frequency Cepstrum Coefficient (MFCC) are used as the features for text-independent speaker recognition in this system. And the experiments compare the recognition rate of LPCC, MFCC or the combination of LPCC and MFCC through using Vector Quantization (VQ) and Dynamic Time Warping (DTW) to recognize a speaker's identity. It proves that the combination of LPCC and MFCC has a higher recognition rate.
Author Zhao Peihua
Zhou Qun
Yuan Yujin
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  surname: Zhou Qun
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  email: zhouqun688@yahoo.com
  organization: Dept. of Inf. Eng., Handan Coll., Handan, China
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Snippet Spearker recognition used widely in our lives is an important branch of authenticating automatically a speaker's identity based on human biological feature....
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SubjectTerms DTW
Humans
LPCC
Mel frequency cepstral coefficient
MFCC
speaker recognition
Title Research of speaker recognition based on combination of LPCC and MFCC
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