Proceedings of the Conference on Advances in Communication and Control Systems-2013

Audio Visual Isolated Oriya Digit Recognition Using HMM and DWT

Authors
Astik Biswas, P.K. Sahu, Anirban Bhowmick, Mahesh Chandra
Corresponding Author
Astik Biswas
Available Online April 2013.
Abstract
Automatic Speech Recognition (ASR) system performs well under restricted conditions but the performance degrades under noisy environment. Audio-visual features play an important role in ASR systems in presence of noise. In this paper Oriya isolated digit recognition system is designed using audio visual features. The visual features of the lip region integrated with audio features to get better recognition performance under noisy environments. Color Intensity and Pseudo Hue methods have been used for lip localization approach with Hidden Markov Model (HMM) as a classifier. For image compression principal component analysis technique has been utilized.
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Proceedings
Proceedings of the Conference on Advances in Communication and Control Systems-2013
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-90-78677-66-6
ISSN
1951-6851
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Astik Biswas
AU  - P.K. Sahu
AU  - Anirban Bhowmick
AU  - Mahesh Chandra
PY  - 2013/04
DA  - 2013/04
TI  - Audio Visual Isolated Oriya Digit Recognition Using HMM and DWT
BT  - Proceedings of the Conference on Advances in Communication and Control Systems-2013
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://www.atlantis-press.com/article/6311
ID  - Biswas2013/04
ER  -