Shrikant Venkataramani

Hello World

Welcome to my page, I am Shrikant Venkataramani. I am a third year Ph.D. candidate in the department of Electrical and Computer (ECE) engineering at the University of Illinois at Urbana-Champaign. I work on problems related to Computer Audition where we teach a machine to "listen" like a human.

Currently, I work on Source Separation problems where given a mixture, the goal is to separate the mixture into its constituent sounds. Most of my work lies at the confluence of Machine Learning and Signal Processing problems. If you are interested in my work, please check out my Projects page here.

I work with Professor Paris Smaragdis at the Computational Audio Lab. To know more about our lab and the work we do, you can check out the lab webpage here.


  • Nov 3, 2017: Presenting at ML4Audio workshop at NIPS 2017
    I will be presenting our work on "End-to-end source separation using Adaptive Front Ends" at the NIPS workshop on Machine Learning for audio processing (ML4Audio) on Dec 8. I am really looking forward to this one.
  • Oct 28, 2017: New arxiv submission
    A revamped version of our paper "End-to-end source separation using Adaptive Front Ends" is now available online on arxiv! Check out the paper here.

    To learn more and hear-out some separation examples, visit the related project page here.
  • Sep 28, 2017: Best Student Paper Award, MLSP
    Our paper "Neural Network Alternatives to Convolutive Audio Models for Source Separation" has been awarded the "Best Student Paper Award" at MLSP 2017! Check out the paper here.