Research on Different Feature Parameters in Speaker Recognition

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.