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» Higher-Level Features in Speaker Recognition
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ICPR
2008
IEEE
14 years 5 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
ICPR
2010
IEEE
13 years 8 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
CSL
2006
Springer
13 years 11 months ago
Support vector machines for speaker and language recognition
Support vector machines (SVMs) have proven to be a powerful technique for pattern classification. SVMs map inputs into a high dimensional space and then separate classes with a hy...
William M. Campbell, Joseph P. Campbell, Douglas A...
ICASSP
2009
IEEE
14 years 5 months ago
The I4U system in NIST 2008 speaker recognition evaluation
This paper describes the performance of the I4U speaker recognition system in the NIST 2008 Speaker Recognition Evaluation. The system consists of seven subsystems, each with diff...
Haizhou Li, Bin Ma, Kong-Aik Lee, Hanwu Sun, Dongl...
ICASSP
2011
IEEE
13 years 2 months ago
Forensically inspired approaches to automatic speaker recognition
This paper presents ongoing research leveraging forensic methods for automatic speaker recognition. Some of the methods forensic scientists employ include identifying speaker dist...
Kyu J. Han, Mohamed Kamal Omar, Jason W. Pelecanos...