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» Progress in example based automatic speech recognition
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ICASSP
2010
IEEE
13 years 7 months ago
Evaluation of semantic role labeling and dependency parsing of automatic speech recognition output
Semantic role labeling (SRL) is an important module of spoken language understanding systems. This work extends the standard evaluation metrics for joint dependency parsing and SR...
Benoît Favre, Bernd Bohnet, Dilek Hakkani-T&...
INTERSPEECH
2010
13 years 2 months ago
Canonical state models for automatic speech recognition
Current speech recognition systems are often based on HMMs with state-clustered Gaussian Mixture Models (GMMs) to represent the context dependent output distributions. Though high...
Mark J. F. Gales, Kai Yu
EMNLP
2008
13 years 9 months ago
Revealing the Structure of Medical Dictations with Conditional Random Fields
Automatic processing of medical dictations poses a significant challenge. We approach the problem by introducing a statistical framework capable of identifying types and boundarie...
Jeremy Jancsary, Johannes Matiasek, Harald Trost
ICASSP
2009
IEEE
14 years 2 months ago
An auditory-based feature for robust speech recognition
A conventional automatic speech recognizer does not perform well in the presence of noise, while human listeners are able to segregate and recognize speech in noisy conditions. We...
Yang Shao, Zhaozhang Jin, DeLiang Wang, Soundarara...
ATAL
2009
Springer
14 years 2 months ago
EmoEmma: emotional speech input for interactive storytelling
Whilst techniques for narrative generation and agent behaviour have made significant progress in recent years, natural language processing remains a bottleneck hampering the scala...
Fred Charles, David Pizzi, Marc Cavazza, Thurid Vo...