153 search results - page 13 / 31 » Bayesian sensing hidden Markov models for speech recognition |
94
Voted
NIPS
2001
15 years 14 days ago
2001
In the `missing data' approach to improving the robustness of automatic speech recognition to added noise, an initial process identifies spectraltemporal regions which are do...
175
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EJASMP
2011
14 years 2 months ago
2011
We address the question of whether and how boosting and bagging can be used for speech recognition. In order to do this, we compare two different boosting schemes, one at the pho...
ICASSP
2009
IEEE
15 years 5 months ago
2009
IEEE
We propose a new optimization algorithm called Generalized Baum Welch (GBW) algorithm for discriminative training on hidden Markov model (HMM). GBW is based on Lagrange relaxation...
ISCI
2008
14 years 11 months ago
2008
Spelling speech recognition can be applied for several purposes including enhancement of speech recognition systems and implementation of name retrieval systems. This paper presen...
DAGM
2003
Springer
15 years 4 months ago
2003
Springer
In this paper we address the problem of building a good speech recognizer if there is only a small amount of training data available. The acoustic models can be improved by interpo...