DocumentCode :
394366
Title :
Product of Gaussians and multiple stream systems
Author :
Airey, S.S. ; Gales, M.J.F.
Author_Institution :
Eng. Dept., Cambridge Univ., UK
Volume :
1
fYear :
2003
fDate :
6-10 April 2003
Abstract :
There has been interest in the use of classifiers based on the product of experts (PoE). PoEs offer an alternative to the standard mixture of experts (MoE) framework. This paper presents a particular form of PoE, the product of Gaussians (PoG), within an hidden Markov model framework. Training and initialisation procedures are described for this PoG system. In addition, the relationship of PoG to standard multiple stream systems is explored. The PoG system performance is examined on the SwitchBoard task and is compared to standard Gaussian mixture systems and multiple stream systems.
Keywords :
Gaussian processes; feature extraction; hidden Markov models; signal classification; speech recognition; PoG system performance; SwitchBoard task; feature vector; hidden Markov model; initialisation procedures; mixture of experts; multiple stream systems; product of Gaussians; product of experts based classifiers; speech recognition; standard Gaussian mixture systems; training procedures; Covariance matrix; Gaussian approximation; Gaussian distribution; Gaussian processes; Hidden Markov models; Speech recognition; System performance; Training data; Vocabulary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-7663-3
Type :
conf
DOI :
10.1109/ICASSP.2003.1198913
Filename :
1198913
Link To Document :
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