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M. Pawlewski and J. Jones, “URU Plus—A Scalable Component-Based Speaker-Verification System for BT’s 21st Century Network,” BT Technology Journal, Vol. 25, No. 3-4, 2007, pp. 170-178. http://dx.doi.org/10.1007/s10550-007-0072-y

has been cited by the following article:

• 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.