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» Automatic speech recognition system channel modeling
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ICASSP
2010
IEEE
13 years 10 months ago
Improving speech recognition by explicit modeling of phone deletions
In a paper published by Greenberg in 1998, it was said that in conversational speech, phone deletion rate may go as high as 12% whereas syllable deletion rate is about 1%. The fi...
Tom Ko, Brian Mak
ICMI
2004
Springer
281views Biometrics» more  ICMI 2004»
14 years 3 months ago
Articulatory features for robust visual speech recognition
Visual information has been shown to improve the performance of speech recognition systems in noisy acoustic environments. However, most audio-visual speech recognizers rely on a ...
Kate Saenko, Trevor Darrell, James R. Glass
NAACL
1994
13 years 11 months ago
Speech Recognition Using a Stochastic Language Model Integrating Local and Global Constraints
In this paper, we propose a new stochastic language model that integrates local and global constraints effectively and describe a speechrecognition system basedon it. Theproposedl...
Ryosuke Isotani, Shoichi Matsunaga
ICMI
2003
Springer
166views Biometrics» more  ICMI 2003»
14 years 3 months ago
Georgia tech gesture toolkit: supporting experiments in gesture recognition
Gesture recognition is becoming a more common interaction tool in the fields of ubiquitous and wearable computing. Designing a system to perform gesture recognition, however, can...
Tracy L. Westeyn, Helene Brashear, Amin Atrash, Th...
ICASSP
2008
IEEE
14 years 4 months ago
Irrelevant variability normalization based HMM training using map estimation of feature transforms for robust speech recognition
In the past several years, we’ve been studying feature transformation (FT) approaches to robust automatic speech recognition (ASR) which can compensate for possible “distortio...
Donglai Zhu, Qiang Huo