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ICPR
2008
IEEE
13 years 11 months ago
Learning polynomial function based neutral-emotion GMM transformation for emotional speaker recognition
One of the biggest challenges in speaker recognition is dealing with speaker-emotion variability. The basic problem is how to train the emotion GMMs of the speakers from their neu...
Zhenyu Shan, Yingchun Yang
ICASSP
2010
IEEE
13 years 3 months ago
A comparison of approaches for modeling prosodic features in speaker recognition
Prosodic information has been successfully used for speaker recognition for more than a decade. The best-performing prosodic system to date has been one based on features extracte...
Luciana Ferrer, Nicolas Scheffer, Elizabeth Shribe...
ICASSP
2011
IEEE
12 years 8 months ago
Language-independent constrained cepstral features for speaker recognition
Constrained cepstral systems, which select frames to match various linguistic “constraints” in enrollment and test, have shown significant improvements for speaker verificatio...
Elizabeth Shriberg, Andreas Stolcke
ICPR
2010
IEEE
13 years 2 months ago
Learning Virtual HD Model for Bi-model Emotional Speaker Recognition
Pitch mismatch between training and testing is one of the important factors causing the performance degradation of the speaker recognition system. In this paper, we adopted the mis...
Ting Huang, Yingchun Yang
ICBA
2004
Springer
197views Biometrics» more  ICBA 2004»
13 years 10 months ago
Maximum Likelihood and Maximum a Posteriori Adaptation for Distributed Speaker Recognition Systems
We apply the ETSI’s DSR standard to speaker verification over telephone networks and investigate the effect of extracting spectral features from different stages of the ETSI...
Chin-Hung Sit, Man-Wai Mak, Sun-Yuan Kung