TITLE:
Speaker Recognition System Based on the Baseband Correlation Score Reliability Fusion
AUTHORS:
Qi He, Ting Huang, Hongbo Zhang
KEYWORDS:
Emotional Speaker Recognition; Pitch Normalization Method; Model Mismatch Detection; Emotional Normalization
JOURNAL NAME:
Communications and Network,
Vol.5 No.3C,
October
9,
2013
ABSTRACT: Emotion mismatch between training and testing will cause
system performance decline sharply which is emotional speaker recognition. It
is an important idea to solve this problem according to the emotion
normalization of test speech. This method proceeds from analysis of the
differences between every kind of emotional speech and neutral speech. Besides,
it takes the baseband mismatch of emotional changes as the main line. At the
same time, it gives the corresponding algorithm according to four technical
points which are emotional expansion, emotional shield, emotional normalization
and score compensation. Compared with the traditional GMM-UBM method, the
recognition rate in MASC corpus and EPST corpus was increased by 3.80% and
8.81% respectively.