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AMAI
2004
Springer
14 years 1 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
CSL
2000
Springer
13 years 8 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
13 years 3 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, ...
ECML
2007
Springer
14 years 2 months ago
Learning from Relevant Tasks Only
We extend our recent work on relevant subtask learning, a new variant of multitask learning where the goal is to learn a good classifier for a task-of-interest with too few train...
Samuel Kaski, Jaakko Peltonen
ICML
2010
IEEE
13 years 9 months ago
Distance dependent Chinese restaurant processes
We develop the distance dependent Chinese restaurant process (CRP), a flexible class of distributions over partitions that allows for nonexchangeability. This class can be used to...
David M. Blei, Peter Frazier