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» An Automatic Speaker Recognition System
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CSL
2002
Springer
13 years 7 months ago
Transformation streams and the HMM error model
The most popular model used in automatic speech recognition is the hidden Markov model (HMM). Though good performance has been obtained with such models there are well known limit...
M. J. F. Gales
LREC
2008
110views Education» more  LREC 2008»
13 years 9 months ago
Creation of Learner Corpus and Its Application to Speech Recognition
Some big languages like English are spoken by a lot of people whose mother tongues are different from. Their second languages often have not only distinct accent but also differen...
Hiroki Yamazaki, Keisuke Kitamura, Takashi Harada,...
NAACL
2003
13 years 9 months ago
Implicit Trajectory Modeling through Gaussian Transition Models for Speech Recognition
It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
Hua Yu, Tanja Schultz
ICASSP
2010
IEEE
13 years 7 months ago
Learning with synthesized speech for automatic emotion recognition
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Bjoern Schuller, Felix Burkhardt
CSL
2006
Springer
13 years 7 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...