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» Advances in Mixture Models
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IJON
2002
85views more  IJON 2002»
15 years 4 months ago
Independent components of natural images under variable compression rate
A generalized ICA model allowing overcomplete bases and additive noises in the observables is applied to natural image data. It is well known that such a model produces independen...
Akio Utsugi
AMAI
2004
Springer
15 years 10 months ago
Bayesian Model Averaging Across Model Spaces via Compact Encoding
Bayesian Model Averaging (BMA) is well known for improving predictive accuracy by averaging inferences over all models in the model space. However, Markov chain Monte Carlo (MCMC)...
Ke Yin, Ian Davidson
124
Voted
CSL
2000
Springer
15 years 4 months ago
Pronunciation modeling by sharing Gaussian densities across phonetic models
Conversational speech exhibits considerable pronunciation variability, which has been shown to have a detrimental effect on the accuracy of automatic speech recognition. There hav...
Murat Saraclar, Harriet J. Nock, Sanjeev Khudanpur
INTERSPEECH
2010
14 years 11 months ago
Probabilistic integration of joint density model and speaker model for voice conversion
This paper describes a novel approach to voice conversion using both a joint density model and a speaker model. In voice conversion studies, approaches based on Gaussian Mixture M...
Daisuke Saito, Shinji Watanabe, Atsushi Nakamura, ...
132
Voted
CORR
2008
Springer
111views Education» more  CORR 2008»
15 years 4 months ago
Risk Management for Complex Calculations: EuSpRIG Best Practices in Hybrid Applications
As the need for advanced, interactive mathematical models has increased, user/programmers are increasingly choosing the MatLab
Deborah Cernauskas, Andrew Kumiega, Ben Van Vliet