Different variations of Artificial Neural Networks (ANN) have gained popularity as the pattern classifiers in the recent years. Many researchers have used Neural Networks as the classifiers  to perform different speech tasks. There are many evidence in the literature regarding essence and importance of Neural Networks (NN) for different speech tasks. Recent research studies and results  have shown that Non-linear higher order relations among the speech feature vectors can be learnt well by the Neural Networks and they perform better in classifying speech patterns. In this scenario, introduction of the ANN to the researchers for performing various speech tasks would be helpful. This workshop contains a brief introduction about the NN Toolbox of MATLAB. One session also includes the use of Simulink for general Simulation Scenarios.

Workshop Contents:

• Neural Networks as the pattern classifiers
• Neural Networks’ approach for various Speech Tasks (Both Matlab and C-Implementations) 
• SIMULINK

Eligibility
This workshop is open to UG & PG Students, Research Scholars, Faculty Members and Industry Professionals. Registration is based on First Come First Served basis.

Dr. Rajarshi Mahapatra, working as a Technical Specialist at Rockwell Collins, received his Ph.D. from IIT Kharagpur, has Over 12 years of experience in telecommunication research and development which includes both industry and academia.
Dr. Krishnamoorthy. P, working as a Scientist at Philips Research Asia-Bangalore, received his Ph.D. from IIT Guwahati.
Sudhamay Maity, working as Software Engineer for Yantra Software, Hyderabad. He received his MS. from IIT Kharagpur.