Speaker recognition based on LPCC and MFCC
2016-08-23
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MFCC parameters and speaker recognition LPCC parameters are the two most commonly used features of the parameters studied algorithm principle and LPCC MFCC parameter extraction and poor
Points cepstrum parameter extraction method, using MFCC, LPCC and the first order, second order difference as the characteristic parameter by k-means algorithm and the BP neural network to say
Word recognition. The experimental results show that this method can effectively improve the recognition rate, but also to verify the robustness of MFCC parameters than LPCC parameters
Points cepstrum parameter extraction method, using MFCC, LPCC and the first order, second order difference as the characteristic parameter by k-means algorithm and the BP neural network to say
Word recognition. The experimental results show that this method can effectively improve the recognition rate, but also to verify the robustness of MFCC parameters than LPCC parameters
word
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lpcc
mfcc
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