Visual isolated word recognition

Visual isolated word recognition

In this paper, the performance of neural network for isolated word recognition based on the movement of the mouth is investigated. Ten isolated words "zero" to "nine" form the vocabulary. The three parameters: height between the upper...

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Main Authors: Foo, Say Wei, Lim, Chee Chuan
Other Authors: IEEE International Conference on Information, Communications and Signal Processing (7th : 2009 : Macau)
Format: Conference or Workshop Item
Language:English
Published: 2009
Online Access:https://hdl.handle.net/10356/91589
http://hdl.handle.net/10220/4614
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-915892019-12-06T18:08:27Z Visual isolated word recognition Foo, Say Wei Lim, Chee Chuan IEEE International Conference on Information, Communications and Signal Processing (7th : 2009 : Macau) In this paper, the performance of neural network for isolated word recognition based on the movement of the mouth is investigated. Ten isolated words "zero" to "nine" form the vocabulary. The three parameters: height between the upper and lower lips, width of the mouth from left edge to right edge and the specific angle of the upper lip, are selected as representative features of the shape of the mouth. A oneagainst-the-rest neural network is used for classification. The architecture of the neural network consists of ten sub-units. Each sub-unit distinguishes 1 word from the other 9 and has 50 input vectors, 10 hidden nodes and 1 output neuron. By suitably combining the outcomes from the 3 features individually, 92.5% accuracy of recognition may be attained. Accepted version 2009-05-25T01:47:50Z 2019-12-06T18:08:27Z 2009-05-25T01:47:50Z 2019-12-06T18:08:27Z 2009 2009 Conference Paper Foo, S. W., & Lim, C. C. Visual isolated word reconition. International Conference on Information, Communications & Signal Processing (pp.1-4). https://hdl.handle.net/10356/91589 http://hdl.handle.net/10220/4614 en © IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. 4 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
description In this paper, the performance of neural network for isolated word recognition based on the movement of the mouth is investigated. Ten isolated words "zero" to "nine" form the vocabulary. The three parameters: height between the upper and lower lips, width of the mouth from left edge to right edge and the specific angle of the upper lip, are selected as representative features of the shape of the mouth. A oneagainst-the-rest neural network is used for classification. The architecture of the neural network consists of ten sub-units. Each sub-unit distinguishes 1 word from the other 9 and has 50 input vectors, 10 hidden nodes and 1 output neuron. By suitably combining the outcomes from the 3 features individually, 92.5% accuracy of recognition may be attained.
author2 IEEE International Conference on Information, Communications and Signal Processing (7th : 2009 : Macau)
author_facet IEEE International Conference on Information, Communications and Signal Processing (7th : 2009 : Macau)
Foo, Say Wei
Lim, Chee Chuan
format Conference or Workshop Item
author Foo, Say Wei
Lim, Chee Chuan
spellingShingle Foo, Say Wei
Lim, Chee Chuan
Visual isolated word recognition
author_sort Foo, Say Wei
title Visual isolated word recognition
title_short Visual isolated word recognition
title_full Visual isolated word recognition
title_fullStr Visual isolated word recognition
title_full_unstemmed Visual isolated word recognition
title_sort visual isolated word recognition
publishDate 2009
url https://hdl.handle.net/10356/91589
http://hdl.handle.net/10220/4614
_version_ 1681044879142027264

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