• Aravinda V
• Dr. Smitha Sasi
• Harish A
• Divakara M P
• Akshay Chandra A Nagzarkar

Visual Speech Recognition (VSR) is the process of deciphering speech without any audio means. This is a technique employed by people with hearing impairments. This ability of lip-reading will enable such people to interact with others and engage themselves in conversation. In this paper the Viola-Jones Algorithm is employed to detect and capture the face of a person speaking. The region of Interest (ROI) or the mouth region is defined relatively to the nose region, hence can be identified and extracted. Specific methods have been employed for extraction of features. The Discrete Cosine Transform (DCT) is used to extract the visual features and obtain the final vector to train the model. A speaker- dependent VSR system is discussed to recognize the isolated letters and digits from a input video given to it.

Lip-reading, Region of Interest, Discrete Cosine Transform, Feature Extraction.

"Simple and Effective Visual Speech Recognition System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 8, page no.45-47, August-2020, Available :http://www.jetir.org/papers/JETIR2008007.pdf

"Simple and Effective Visual Speech Recognition System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 8, page no. pp45-47, August-2020, Available at : http://www.jetir.org/papers/JETIR2008007.pdf