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Simple Search
Hits 1 – 20 of 20
1
Distinctive feature fusion for recognition of Australian English consonants
Trent W. Lewis
;
David M. W. Powers
In: http://dl.dropboxusercontent.com/u/27743223/200809-Interspeech2008-DistinctiveFeatureFusion.pdf (2008)
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2
D.M.W.: Verb similarity on the taxonomy of WordNet
Dongqiang Yang
;
David M. W. Powers
In: http://david.wardpowers.info/Research/AI/papers/200601-GWC-VerbSimWN.pdf (2006)
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3
A Basis for Compact Distributional Extraction Abstract
David M. W. Powers
;
German Ai
In: http://members.dodo.com.au/~powers/Research/AI/papers/199208-THINK-CDE.pdf (2003)
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4
Audio-Visual Speech Recognition using Red Exclusion and Neural Networks
Trent W. Lewis
;
David M. W. Powers
In: http://www.jrpit.flinders.edu.au/confpapers/CRPITV4Lewis.pdf (2003)
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5
AudioVisual Speech Recognition using Red Exclusion and Neural Networks
Trent W. Lewis
;
David M. W. Powers
In: http://ws.acs.org.au/jrpit/JRPIT35.1.41.pdf (2003)
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6
Audio-Visual Speech Recognition using Red Exclusion and Neural Networks
Trent W. Lewis
;
David M. W. Powers
In: http://www.infoeng.flinders.edu.au/papers/20030001.pdf (2003)
Abstract:
. This paper briefly reviews the contribution of psycholinguistics to this endeavour and the recent advances in machine AVSR. An important first step in AVSR is that of feature extraction from the mouth region and a promising new technique is presented. This paper examines how useful this extraction technique in combination with several integration architectures and compares it with competing techniques, demonstrates that vision does in fact assist speech recognition when used in a linguistically guided fashion, and gives insight into remaining issues.
URL:
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.3.3050
http://www.infoeng.flinders.edu.au/papers/20030001.pdf
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7
Lip Feature Extraction Using Red Exclusion
Trent W. Lewis
;
David M. W. Powers
In: http://www.jrpit.flinders.edu.au/confpapers/CRPITV2Lewis.pdf (2001)
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8
Lip Feature Extraction Using Red Exclusion
Trent W. Lewis
;
David M. W. Powers
In: http://www.cs.flinders.edu.au/Research/AI/papers/200001-VIP-AVSR.pdf (2001)
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9
Learning and Application of Differential Grammars
David M. W. Powers
In: ftp://ai.ist.flinders.edu.au/pub/ai/papers/199703-CoNLL-DG.ps.gz (1997)
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10
System design methodology
Dongqiang Yang
;
David M. W. Powers
In: http://david.wardpowers.info/Research/AI/papers/200603-ACL%2BCoLing-WordSimWN.pdf (1995)
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11
A Multifaceted Investigation into Speech Reading
Trent W. Lewis
;
David M. W. Powers
In: http://members.dodo.com.au/~powers/Research/AI/papers/200108-HIS-MISR.pdf
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12
An empirical evaluation
David M. W. Powers
;
An Empirical Evaluation
In: http://www.infoeng.flinders.edu.au/papers/19970003.pdf
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13
Word Sense Disambiguation using lexical cohesion in the context
Dongqiang Yang
;
David M. W. Powers
In: http://acl.ldc.upenn.edu/P/P06/P06-2119.pdf
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14
An Empirical Investigation into Grammatically Constrained Contexts in Predicting Distributional Similarity
Dongqiang Yang
;
David M. W. Powers
In: http://dl.dropboxusercontent.com/u/27743223/200713-ALTW-DistributionalSimilarity.pdf
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15
An Empirical Investigation into Grammatically Constrained Contexts in Predicting Distributional Similarity
Dongqiang Yang
;
David M. W. Powers
In: http://www.alta.asn.au/events/altw2007/cdrom/pdf/ALTA2007_17.pdf
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16
Smoothing, Normalization, Correction and Reduction
David M. W. Powers
In: http://dl.dropboxusercontent.com/u/27743223/200504-drft-Normalization+LSI+SVD+Katz+TFIDF.pdf
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17
What Unsupervised Learning Tells Us About Language Models
David Powers Artificial
;
David M. W. Powers
In: ftp://ai.ist.flinders.edu.au/pub/ai/papers/199606-TASL-WULTAL.ps.gz
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18
Smoothing, Normalization, Correction and Reduction
David M. W. Powers
In: http://david.wardpowers.info/Research/AI/papers/200504-drft-Normalization%2BLSI%2BSVD%2BKatz%2BTFIDF.pdf
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19
ROBOT BABIES
David M. W. Powers
In: http://david.wardpowers.info/Research/AI/papers/200106-inv-RBE.pdf
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20
Robot babies: what can they teach us about language acquisition?
David M. W. Powers
In: http://david.wardpowers.info/Research/AI/papers/200004-inv-RBE.pdf
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