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.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
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 (CAC2S 2013) PB - Atlantis Press SP - 234 EP - 238 SN - 1951-6851 UR - https://www.atlantis-press.com/article/6311 ID - Biswas2013/04 ER -