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ICASSP
2009
IEEE
15 years 5 months ago
Neural network based language models for highly inflective languages
Speech recognition of inflectional and morphologically rich languages like Czech is currently quite a challenging task, because simple n-gram techniques are unable to capture impo...
Tomas Mikolov, Jirí Kopecký, Lukas B...
ICASSP
2011
IEEE
14 years 5 months ago
Lexical access experiments with context-dependent articulatory feature-based models
We address the problem of pronunciation variation in conversational speech with a context-dependent articulatory featurebased model. The model is an extension of previous work usi...
Preethi Jyothi, Karen Livescu, Eric Fosler-Lussier
NAACL
1994
15 years 3 months ago
Tree-Based State Tying for High Accuracy Modelling
The key problem to be faced when building a HMM-based continuous speech recogniser is maintaining the balance between model complexity and available training data. For large vocab...
S. J. Young, J. J. Odell, Philip C. Woodland
FUIN
2002
108views more  FUIN 2002»
15 years 1 months ago
Approximate Entropy Reducts
We use information entropy measure to extend the rough set based notion of a reduct. We introduce the Approximate Entropy Reduction Principle (AERP). It states that any simplificat...
Dominik Slezak
PC
2006
96views Management» more  PC 2006»
15 years 1 months ago
Modeling Master/Worker applications for automatic performance tuning
Parallel application development is a very difficult task for non-expert programmers, and therefore support tools are needed for all phases of this kind of application development...
Eduardo César, Andreu Moreno, Joan Sorribes...