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» Learning a language model from continuous speech
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ICASSP
2011
IEEE
14 years 1 months ago
Relevance language modeling for speech recognition
Language models for speech recognition tend to be brittle across domains, since their performance is vulnerable to changes in the genre or topic of the text on which they are trai...
Kuan-Yu Chen, Berlin Chen
CISIS
2009
IEEE
15 years 4 months ago
Pervasive Informatics and Persistent Actimetric Information in Health Smart Homes: From Language Model to Location Model
—This paper presents an approach of location model deriving from language models existing in speech recognition research. The purpose is to applicate existing model in speech rec...
Yannick Fouquet, Jacques Demongeot, Nicolas Vuille...
ICPR
2006
IEEE
15 years 10 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
NAACL
2004
14 years 11 months ago
Detecting Structural Metadata with Decision Trees and Transformation-Based Learning
The regular occurrence of disfluencies is a distinguishing characteristic of spontaneous speech. Detecting and removing such disfluencies can substantially improve the usefulness ...
Joungbum Kim, Sarah E. Schwarm, Mari Ostendorf
CSL
2006
Springer
14 years 9 months ago
A study in machine learning from imbalanced data for sentence boundary detection in speech
Enriching speech recognition output with sentence boundaries improves its human readability and enables further processing by downstream language processing modules. We have const...
Yang Liu, Nitesh V. Chawla, Mary P. Harper, Elizab...