Shrikant Venkataramani, Ryley Higa, Paris Smaragdis. Performance Based Cost Functions for End-to-End Speech Separation. To be published in proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference Honolulu, Hawaii, Nov 2018 .
Shrikant Venkataramani, Jonah Casebeer, Paris Smaragdis. End-to-end Source Separation using Adaptive Front Ends. To be published in proceedings of Asilomar conference on Signals, Systems and Computers, Pacific Grove, CA. Oct, 2018.
*** Nominated for Best Student Paper Award ***[Paper]
Shrikant Venkataramani, Cem Subakan, Paris Smaragdis. Neural Network Alternatives to Convolutive Audio Models for Source Separation. In proceedings of IEEE international workshop on Machine Learning for Signal Processing (MLSP). Tokyo, Japan. September 2017.
*** Best Student Paper Award ***[Paper] [Code] [Presentation]
Shrikant Venkataramani, Paris Smaragdis, Gautham Mysore. AutoDub: Automatic Redubbing for Voiceover Editing. in Proceedings of the 30th Annual Symposium on User Interface Software and Technology (UIST). Quebec City, Canada. October 2017.
Paris Smaragdis, Shrikant Venkataramani. A Neural Network Alternative to Non-negative Audio Models. in proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). New Orleans, USA, February 2017.
Shrikant Venkataramani, Nagesh Nayak, Rajbabu Velmurugan, Preeti Rao. Vocal Separation using Singer-Vowel Priors obtained from Polyphonic Audio In proceedings of International Society for Music Information Retrieval (ISMIR). Taipei, Taiwan. 2015.
Shrikant Venkataramani, Preeti Rao, Rajbabu Velmurugan. Improving Mobile Phone Based Query Recognition with a Microphone Array. in proceedings of National Conference on Communications (NCC). Kanpur, India, 2015.
Automatic voiceover correction system, Shrikant Venkataramani, Paris Smaragdis, Gautham Mysore. US Patent #15432249, 2018