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1
Distinctive feature fusion for recognition of Australian English consonants
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
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
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
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
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
In: http://www.infoeng.flinders.edu.au/papers/20030001.pdf (2003)
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7
Lip Feature Extraction Using Red Exclusion
In: http://www.jrpit.flinders.edu.au/confpapers/CRPITV2Lewis.pdf (2001)
Abstract: Automatic speech recognition (ASR) performs well under restricted conditions, but performance degrades in noisy environments. Audio-Visual Speech Recognition (AVSR) combats this by incorporating a visual signal into the recognition. 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. This paper examines several well-known pixel based techniques - grayscale, horizontal edge, red and hue colour space - and compares how well they work on our naturalistic database. Finally, a novel method of feature extraction, red exclusion, is described that outperforms the others on this data set.
Keyword: Email; lewi0146; powers}infoeng. flinders. edu. au
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.6838
http://www.jrpit.flinders.edu.au/confpapers/CRPITV2Lewis.pdf
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8
Lip Feature Extraction Using Red Exclusion
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
In: ftp://ai.ist.flinders.edu.au/pub/ai/papers/199703-CoNLL-DG.ps.gz (1997)
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10
System design methodology
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
In: http://members.dodo.com.au/~powers/Research/AI/papers/200108-HIS-MISR.pdf
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12
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
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
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
In: http://www.alta.asn.au/events/altw2007/cdrom/pdf/ALTA2007_17.pdf
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16
Smoothing, Normalization, Correction and Reduction
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
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
In: http://david.wardpowers.info/Research/AI/papers/200504-drft-Normalization%2BLSI%2BSVD%2BKatz%2BTFIDF.pdf
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19
ROBOT BABIES
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?
In: http://david.wardpowers.info/Research/AI/papers/200004-inv-RBE.pdf
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