Udit is a Ph.D. candidate in Dept. of Electrical and Computer Engineering at Georgia Institute of Technology with a concentration in digital signal processing. He completed his Bachelor of Engineering degree from Manipal Institute of Technology, Manipal, Karnataka, India in 2009 and Master of Science in 2012 from Georgia Institute of Technology. Udit’s research is focused towards separation of different voices in music, particularly regarding subjective and objective evaluation of singing-voice separation from musical mix.
His research interests include –
- Blind Source Separation
- Music Information Retrieval
- Machine Learning for Audio Applications
- Positional Audio and Sound-Field Analysis
- Computational Auditory Scene Analysis
- Affective Analysis of Speech
- Applications of Speech/Audio Processing for Medical Diagnosis
Publications
- Gupta, Udit, Elliot Moore, and Alexander Lerch. “On the perceptual relevance of objective source separation measures for singing voice separation.” Applications of Signal Processing to Audio and Acoustics (WASPAA), 2015 IEEE Workshop on. IEEE, 2015
- Austin, A., Moore, E., Gupta, U., & Chordia, P. (2010, March). Characterization of movie genre based on music score. In Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on (pp. 421-424).