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Research on Different Feature Parameters in Speaker Recognition

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DOI: 10.4236/jsip.2013.42014    3,717 Downloads   5,348 Views   Citations

ABSTRACT


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.


Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

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.

References

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