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ICASSP
2011
IEEE
12 years 9 months ago
Generating compound words with high order n-gram information in large vocabulary speech recognition systems
In this work we concentrate on generating compound words with high order n-gram information for speech recognition. In most existing compound words generation methods, only bi-gra...
Jie Zhou, Qin Shi, Yong Qin
IJCAI
1989
13 years 6 months ago
Layering Predictions: Flexible Use of Dialog Expectation in Speech Recognition
entional user behavior, we need a principled mannerAbstract for relaxing contextual constraints when they are violated.When computer speech recognition is used for problem In order...
Sheryl R. Young, Wayne H. Ward, Alexander G. Haupt...
CHI
2004
ACM
14 years 5 months ago
Semantic speech editing
Editing speech data is currently time-consuming and errorprone. Speech editors rely on acoustic waveform representations, which force users to repeatedly sample the underlying spe...
Steve Whittaker, Brian Amento
LREC
2008
146views Education» more  LREC 2008»
13 years 6 months ago
ProPOSEL: A Prosody and POS English Lexicon for Language Engineering
ProPOSEL is a prototype prosody and PoS (part-of-speech) English lexicon for Language Engineering, derived from the following language resources: the computer-usable dictionary CU...
Claire Brierley, Eric Atwell
ICASSP
2009
IEEE
14 years 3 days ago
Unsupervised equalization of Lombard effect for speech recognition in noisy adverse environment
When exposed to environmental noise, speakers adjust their speech production to maintain intelligible communication. This phenomenon, called Lombard effect (LE), is known to consi...
Hynek Boril, John H. L. Hansen