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» Canonical state models for automatic speech recognition
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NAACL
1994
14 years 11 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
77
Voted
ESOP
2004
Springer
15 years 3 months ago
Canonical Graph Shapes
Abstract. Graphs are an intuitive model for states of a (software) system that include pointer structures — for instance, object-oriented programs. However, a naive encoding resu...
Arend Rensink
ICASSP
2011
IEEE
14 years 1 months ago
Automatic recognition of speech without any audio information
This article introduces automatic recognition of speech without any audio information. Movements of the tongue, lips, and jaw are tracked by an Electro-Magnetic Articulography (EM...
Panikos Heracleous, Norihiro Hagita
ACL
2008
14 years 11 months ago
Grounded Language Modeling for Automatic Speech Recognition of Sports Video
Grounded language models represent the relationship between words and the non-linguistic context in which they are said. This paper describes how they are learned from large corpo...
Michael Fleischman, Deb Roy
90
Voted
INTERSPEECH
2010
14 years 4 months ago
Automatic derivation of phonological rules for mispronunciation detection in a computer-assisted pronunciation training system
Computer-Assisted Pronunciation Training System (CAPT) has become an important learning aid in second language (L2) learning. Our approach to CAPT is based on the use of phonologi...
Wai Kit Lo, Shuang Zhang, Helen M. Meng