MIT EECS — Keel Foundation Undergraduate Research and Innovation Scholar
Acoustic Analysis of Speech
I am working towards the completion of a speech analysis system modeled on human speech understanding, based on the detection of acoustic cues called landmarks (LMs). Most of the individual components in the system based on feature cues have been completed, and this SuperUROP project involves development of the remaining modules and integration of the system.
I am a student in Course 6-2, with experience in linguistics and languages. My SuperUROP project incorporates both my computer science and linguistics background. In this endeavour, I hope to improve my technical and creative skills as I find solutions to the problems that will inevitably arise.