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» Phoneme recognition using Boosted Binary Features
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ICASSP
2011
IEEE
12 years 11 months ago
Multilayer perceptron with sparse hidden outputs for phoneme recognition
This paper introduces the sparse multilayer perceptron (SMLP) which learns the transformation from the inputs to the targets as in multilayer perceptron (MLP) while the outputs of...
Garimella S. V. S. Sivaram, Hynek Hermansky
AMFG
2003
IEEE
144views Biometrics» more  AMFG 2003»
14 years 23 days ago
Boosted Audio-Visual HMM for Speech Reading
We propose a new approach for combining acoustic and visual measurements to aid in recognizing lip shapes of a person speaking. Our method relies on computing the maximum likeliho...
Pei Yin, Irfan A. Essa, James M. Rehg
ISCAS
1999
IEEE
112views Hardware» more  ISCAS 1999»
13 years 11 months ago
An acoustic-phonetic feature-based system for automatic phoneme recognition in continuous speech
An acoustic-phonetic feature- and knowledge-based system for the automatic segmentation, broad categorization and fine phoneme recognition of continuous speech is described. The s...
A. M. Abdelatty Ali, Jan Van der Spiegel, Paul Mue...
CVPR
2011
IEEE
13 years 2 months ago
Mining Discriminative Co-occurrence Patterns for Visual Recognition
The co-occurrence pattern, a combination of binary or local features, is more discriminative than individual features and has shown its advantages in object, scene, and action rec...
Junsong Yuan, Ming Yang, Ying Wu
HICSS
2005
IEEE
132views Biometrics» more  HICSS 2005»
14 years 1 months ago
Web Browser Control Using EMG Based Sub Vocal Speech Recognition
—Subvocal electromyogram (EMG) signal classification is used to control a modified web browser interface. Recorded surface signals from the larynx and sublingual areas below the ...
Chuck Jorgensen, Kim Binsted