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» Combining Gaussian Mixture Models
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TIP
2002
179views more  TIP 2002»
14 years 11 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
ICASSP
2011
IEEE
14 years 3 months ago
Speech bandwidth extension using Gaussian mixture model-based estimation of the highband mel spectrum
The quality and intelligibility of narrowband telephone speech can be enhanced by artifical bandwidth extension. This study combines Gaussian mixture model-based (GMM) mel spectr...
Hannu Pulakka, Ulpu Remes, Kalle J. Palomäki,...
102
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CSDA
2006
91views more  CSDA 2006»
14 years 11 months ago
Model-based cluster and discriminant analysis with the MIXMOD software
The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algor...
Christophe Biernacki, Gilles Celeux, Gérard...
82
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TASLP
2002
84views more  TASLP 2002»
14 years 11 months ago
Substate tying with combined parameter training and reduction in tied-mixture HMM design
Two approaches are proposed for the design of tied-mixture hidden Markov models (TMHMM). One approach improves parameter sharing via partial tying of TMHMM states. To facilitate ty...
Liang Gu, Kenneth Rose