Can an AI machine understand Indian Raga Music?
IIT AGNE is sponsoring a presentation by Kaustuv Ganguli, is a professional vocalist, an engineer and a musicologist, trained in Hindustani music tradition. With the strides in AI, it is becoming increasingly easier for computers to recognize and compose music. But it raised some fundamental questions that differentiate humans from automatons. Can robots understand the nuances of Indian classical music? Can AI add ‘human emotion’ to rhythm and harmony? Can they derive unique characteristics in a musical performance and savor it in the way a human music connoisseur can? His presentation will focus on on advances in AI and music recognition and include a demonstration of the AI Virtual musicologist. This promises to be an interesting topic that will appeal to both music aficionados as well as technologists.
Kaustuv has been a student of vocal maestro Pt. Ajoy Chakrabarty from age 7, and is currently a scholar at ITC Sangeet Research Academy, Kolkata. He is pursuing his PhD in Electronic Systems (Dept. of Electrical Engg.) at the Indian Institute of Technology. His research interests include Audio Signal Processing, Music Information Retrieval, Emotion & Cognition. He is applying Artificial Intelligence techniques to analyze classical music and is also a part of the CompMusic project for computational models of world music discovery. He has received many awards for his musical talent and has published in numerous publications about his technical and musicological work.
When: April 26, 2017, 6:00 to 8:00 pm
Where: MIT, Stata Center, Room 32-155, 32 Vassar St, Cambridge MA
|
