---------- Forwarded message ---------- From: prnakkeeran keeran <prnakkeeran@xxxxxxxxxxx> Date: 2014/1/3 Subject: [gbinfitt] Fw: Lecture Series on Tamil Internet -Talk 3 To: "gbinfitt@xxxxxxxxxxxxxxx" <gbinfitt@xxxxxxxxxxxxxxx> INFITT India Chapter & Tamil Virtual Academy join in inviting you for the "Lecture Series on Tamil Internet - Talk 3" Distinguished Lecture Topic: "Technologies for catapulting Tamil to the digital forefront" Speaker: Dr A G Ramakrishnan Medical Intelligence and Language Engineering Laboratory Professor of Electrical Engineering Indian Institute of Science Bangalore. Date & Time: Tuesday, January 7th 2014, 5.30 p.m. to 7:00 p.m. Venue: Tamil Virtual Academy, Government Data Centre Complex Near Anna Centenary Library Gandhi Mandapam Road, Kottur, Chennai 600 025 Ph 044-2220 1012 Abstract of the talk: The following technologies for Tamil, developed by MILE Lab will be demonstrated: Text-to-speech conversion, printed text recognition, open vocabulary online handwriting recognition through a form-filling application, Indic Keyboard IME for inputting Tamil on Windows, Linux and Android platforms and text extraction from camera captured scene images of display boards, road signs, etc. Basic capability to recognize the extracted scene text and translation to English and Kannada will be demonstrated through a web demo. The technical challenges, the effort and enthusiasm necessary and systematic planning and data collection involved in developing these technologies will be briefly covered. The audience can obtain more information by asking specific technical questions on any of the above topics. Finally, our current commitment to basic research towards developing realistic speech recognition technology, called “Machine Listening” will be covered. Machine listening is aimed at “listening with attention” to realistic human speech, involving more than one language (eg. Tamil and English), man-made non-speech sounds such as laugh, cough, humming, sneeze and throat clearing and environmental noise. The need for standardization and other requirements to bring all these technologies to fruition through popular usage will be emphasized. Links: http://mile.ee.iisc.ernet.in:8080/tts_demo/ http://mile.ee.iisc.ernet.in:8080/SimpleMTS/ https://code.google.com/p/indic-keyboards/ https://code.google.com/p/ocr-gui-frontend/ Profile of the speaker: Dr. A. G. Ramakrishnan is a professor of Electrical Engineering in Indian Institute of Science. He received his Ph.D. degree in 1989 in Biomedical Engineering from I.I.T Madras, India. He was selected as a Young Scientist in 1994. Dr. Ramakrishnan received Sir Andrew Watt Kay Young Researcher's Award (1992) from the Royal College of Physicians and Surgeons, Glasgow for outstanding work in the field of medical and biomedical sciences. He was President of Biomedical Engineering Society of India from 2002 to 2008. He has publications in 4 different IEEE Transactions: Biomed. Eng.; Info. Technology in Biomedicine; Medical Imaging and Audio, Speech, and Language Processing. His research areas include Neuroinspired Pattern Recognition, Machine Listening, Human Computer Interface Technologies, Medical and Document Image Processing, Online Handwriting Recognition, Indian Language Technology Solutions, Natural Language Processing. He has graduated 25 research scholars so far. He is leading a national research consortium on “Recognition of online handwriting in Indian languages”. OCRs developed by him for Tamil, Kannada and Telugu have been used to convert more than 180 books to Braille books. The text to speech synthesis system developed by him for Tamil and Kannada is available as a web demo on his lab website. Indic Keyboard, an open source IME for most Indian languages, is available on code.google.com for both Windows and Linux. You are welcome to forward this invite to your colleague(s)/students who may be interested in this topic. Pl. confirm your participation by email to helpdesk@xxxxxxxxxx for logistics. With Regards, Dr P. R. 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