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EE Faculty Colloquium
February 16 @ 4:00 PM - 5:30 PM IST
Title: Challenges & Opportunities in Dysarthric Speech ProcessingSpeaker: Dr. Prasanta Kumar Ghosh, Dept of Electrical Engineering, Indian Institute of ScienceVenue: MMCR, EETime: 4pm, Friday, 16 FebAbstract:Dysarthria is a speech condition caused by motor impairments. This talk will give an overview of Dysarthric Speech Processing (DSP) arising due to Amyotrophic Lateral Sclerosis (ALS) and Parkinson’s Disease (PD). It will present our latest research results and bring out the challenges and opportunities in DSP.Speaker’s Bio:Prasanta Kumar Ghosh received his Ph.D. in Electrical Engineering from University of Southern California (USC), Los Angeles, USA in 2011. Prior to that he obtained his M.Sc.(Engineering) in Electrical Communication Engineering from Indian Institute of Science (IISc), Bangalore and B.E.(ETCE) in Electronics from Jadavpur University, Kolkata in 2006 and 2003 respectively. He has been a Research Intern at Microsoft Research India, Bangalore in the area of audio-visual speaker verification from March to July in 2006. During 2011-2012 he was with IBM India Research Lab (IRL) as a researcher. Currently, he is an assistant professor in the department of Electrical Engineering (EE) at IISc. Before joining as assistant professor, he was a faculty fellow in the department of EE under the INSPIRE faculty fellowship program.Prasanta Kumar Ghosh was awarded the INSPIRE faculty fellowship from Department of Science and Technology (DST), Govt. of India in 2012. He was the winner of the first prize in Mr. BRV Varadhan Post-Graduate student paper contest in IEEE Bangalore chapter, in 2005. He received the best M.Sc. (Engg.) thesis award for the year 2006-07 in the Electrical Sciences division at IISc. He was awarded Center of Excellence in Teaching’s award for excellence in teaching in the category of EE for the year 2010-11 in USC. He has also received the best teaching assistantship (TA) awards for the years 2007-08 and 2008-09 and the honorable mention for the best paper award in the EE, USC. He was also awarded Ming Hsieh Institute (MHI) Ph.D. scholar for the year 2010-11 in EE, USC. His research interests include non-linear signal processing methods for speech and audio, speech production and its relation to speech perception, and automatic speech recognition inspired by the speech production and perception link.————–