129 search results - page 11 / 26 » Expectation maximization algorithms for conditional likeliho... |
139
Voted
INTERSPEECH
2010
14 years 10 months ago
2010
In this paper, we propose a joint optimal method for automatic speech recognition (ASR) and ideal binary mask (IBM) estimation in transformed into the cepstral domain through a ne...
142
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ICONIP
2007
15 years 4 months ago
2007
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
117
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NIPS
2008
15 years 4 months ago
2008
We apply robust Bayesian decision theory to improve both generative and discriminative learners under bias in class proportions in labeled training data, when the true class propo...
129
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ACL
2004
15 years 4 months ago
2004
Exploiting unannotated natural language data is hard largely because unsupervised parameter estimation is hard. We describe deterministic annealing (Rose et al., 1990) as an appea...
136
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
Shannon's Noisy-Channel model, which describes how a corrupted message might be reconstructed, has been the corner stone for much work in statistical language and speech proc...