Abstract
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<p>This paper presents a speaker-ind … <p>This paper presents a speaker-independent audio-visual digit recognition system that utilizes speech and visual lip signals. The extracted visual features are based on line-motion estimation obtained from video sequences with low resolution (128 ×128 pixels) to increase the robustness of audio recognition. The core experiments investigate lip motion biometrics as stand-alone as well as merged modality in speech recognition system. It uses Support Vector Machines, showing favourable experimental results with digit recognition featuring 83% to 100% on the XM2VTS database depending on the amount of available visual information.</p>of available visual information.</p>
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Author
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Maycel I. Faraj +
, Josef Bigun +
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Conference
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12th International Conference on Computer Analysis of Images and Patterns, Vienna, AUSTRIA, AUG 27-29, 2007
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DOI
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http://dx.doi.org/10.1007/978-3-540-74272-2_45 +
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Diva
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http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:239344
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EndPage
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365 +
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HostPublication
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Computer Analysis of Images and Patterns, Proceedings +
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PublicationType
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Conference Paper +
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Publisher
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Springer Berlin/Heidelberg +
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Series
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Lecture Notes in Computer Science ; Volume 4673/2007 +
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StartPage
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360 +
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Title
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Lip Biometrics for Digit Recognition +
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Year
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2007 +
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Has queryThis property is a special property in this wiki.
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Publications:Lip Biometrics for Digit Recognition +
, Publications:Lip Biometrics for Digit Recognition +
, Publications:Lip Biometrics for Digit Recognition +
, Publications:Lip Biometrics for Digit Recognition +
, Publications:Lip Biometrics for Digit Recognition +
, Publications:Lip Biometrics for Digit Recognition +
, Publications:Lip Biometrics for Digit Recognition +
, Publications:Lip Biometrics for Digit Recognition +
, Publications:Lip Biometrics for Digit Recognition +
, Publications:Lip Biometrics for Digit Recognition +
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Categories |
Publication +
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Modification dateThis property is a special property in this wiki.
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30 September 2016 20:41:23 +
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