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» Improving speech recognition by explicit modeling of phone d...
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INTERSPEECH
2010
13 years 23 days ago
Investigation of full-sequence training of deep belief networks for speech recognition
Recently, Deep Belief Networks (DBNs) have been proposed for phone recognition and were found to achieve highly competitive performance. In the original DBNs, only framelevel info...
Abdel-rahman Mohamed, Dong Yu, L. Deng
ICASSP
2011
IEEE
12 years 9 months ago
Adapting acoustic and lexical models to dysarthric speech
Dysarthria is a motor speech disorder resulting from neurological damage to the part of the brain that controls the physical production of speech and is, in part, characterized by...
Kinfe Tadesse Mengistu, Frank Rudzicz
ICASSP
2009
IEEE
14 years 21 days ago
Training and adapting MLP features for Arabic speech recognition
Features derived from Multi-Layer Perceptrons (MLPs) are becoming increasingly popular for speech recognition. This paper describes various schemes for applying these features to ...
J. Park, Frank Diehl, M. J. F. Gales, Marcus Tomal...
ICASSP
2011
IEEE
12 years 9 months ago
Exemplar-based Sparse Representation phone identification features
Exemplar-based techniques, such as k-nearest neighbors (kNNs) and Sparse Representations (SRs), can be used to model a test sample from a few training points in a dictionary set. ...
Tara N. Sainath, David Nahamoo, Bhuvana Ramabhadra...
INTERSPEECH
2010
13 years 23 days ago
Audio-visual anticipatory coarticulation modeling by human and machine
The phenomenon of anticipatory coarticulation provides a basis for the observed asynchrony between the acoustic and visual onsets of phones in certain linguistic contexts. This ty...
Louis H. Terry, Karen Livescu, Janet B. Pierrehumb...