Research on Different Feature Parameters in Speaker Recognition


Feature parameters extraction is critical for speaker recognition research. The paper presents the function of pitch, formant and Mel frequency central coefficient (MFCC) in speaker recognition. It can increase the identification rate effectively for feature parameter sorts the speech corpus. Using Euclid Distance to compare feature parameters is very effective.

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Q. Liu, M. Yao, H. Xu and F. Wang, "Research on Different Feature Parameters in Speaker Recognition," Journal of Signal and Information Processing, Vol. 4 No. 2, 2013, pp. 106-110. doi: 10.4236/jsip.2013.42014.

Conflicts of Interest

The authors declare no conflicts of interest.


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