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Authors: Wai C. Yau ; Dinesh K. Kumar ; Sridhar P. Arjunan and Sanjay Kumar

Affiliation: School of Electrical and Computer Engineering, RMIT University, Australia

ISBN: 978-972-8865-60-3

Keyword(s): Visual Speech Recognition, Motion History Image, Discrete Stationary Wavelet Transform, Image Moments, Artificial Neural Network.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Image Processing ; Informatics in Control, Automation and Robotics ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control ; Speech Recognition ; Vision, Recognition and Reconstruction

Abstract: This paper presents a novel vision based approach to identify utterances consisting of consonants. A view based method is adopted to represent the 3-D image sequence of the mouth movement in a 2-D space using grayscale images named as motion history image (MHI). MHI is produced by applying accumulative image differencing technique on the sequence of images to implicitly capture the temporal information of the mouth movement. The proposed technique combines Discrete Stationary Wavelet Transform (SWT) and image moments to classify the MHI. A 2-D SWT at level 1 is applied to decompose MHI to produce one approximate and three detail sub images. The paper reports on the testing of the classification accuracy of three different moment-based features, namely Zernike moments, geometric moments and Hu moments computed from the approximate representation of MHI. Supervised feed forward multilayer perceptron (MLP) type artificial neural network (ANN) with back propagation learning algorithm is u sed to classify the moment-based features. The performance and image representation ability of the three moments features are compared in this paper. The preliminary results show that all these moments can achieve high recognition rate in classification of 3 consonants. (More)

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Paper citation in several formats:
C. Yau W.; K. Kumar D.; P. Arjunan S.; Kumar S. and (2006). VISUAL SPEECH RECOGNITION USING WAVELET TRANSFORM AND MOMENT BASED FEATURES.In Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-972-8865-60-3, pages 340-345. DOI: 10.5220/0001209903400345

@conference{icinco06,
author={Wai {C. Yau} and Dinesh {K. Kumar} and Sridhar {P. Arjunan} and Sanjay Kumar},
title={VISUAL SPEECH RECOGNITION USING WAVELET TRANSFORM AND MOMENT BASED FEATURES},
booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2006},
pages={340-345},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001209903400345},
isbn={978-972-8865-60-3},
}

TY - CONF

JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - VISUAL SPEECH RECOGNITION USING WAVELET TRANSFORM AND MOMENT BASED FEATURES
SN - 978-972-8865-60-3
AU - C. Yau, W.
AU - K. Kumar, D.
AU - P. Arjunan, S.
AU - Kumar, S.
PY - 2006
SP - 340
EP - 345
DO - 10.5220/0001209903400345

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