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Research on Different Feature Parameters in Speaker Recognition
Department of Communication and Information System, Hebei University of Science and Technology, Shijiazhuang, China
Department of Communication and Information System, Hebei University of Science and Technology, Shijiazhuang, China
Department of Communication and Information System, Hebei University of Science and Technology, Shijiazhuang, China
Department of Communication and Information System, Hebei University of Science and Technology, Shijiazhuang, China
- 1 Department of Communication and Information System, Hebei University of Science and Technology, Shijiazhuang, China
- 2 Department of Communication and Information System, Hebei University of Science and Technology, Shijiazhuang, China
- 3 Department of Communication and Information System, Hebei University of Science and Technology, Shijiazhuang, China
- 4 Department of Communication and Information System, Hebei University of Science and Technology, Shijiazhuang, China
Journal of Signal and Information Processing·Volume 04 (2013)·Pages 106–110·Published 8 May 2013·DOI10.4236/jsip.2013.42014
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Abstract
Feature parameters extraction is critical for speaker recognition research. The paper presents the function of pitch, for mant and Mel frequency central coefficient (MFCC) in speaker recognition. It can increase the identification rate effec tively for feature parameter sorts the speech corpus. Using Euclid Distance to compare feature parameters is very effec tive.
KeywordsPitchFormantMFCCEuclid Distance
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