| 2021 | Interspeech | Personalized PercepNet: Real-Time, Low-Complexity Target Voice Separation and Enhancement. | Ritwik Giri, Shrikant Venkataramani, Jean-Marc Valin, Umut Isik, Arvindh Krishnaswamy |
| 2020 | ICASSP | Efficient Trainable Front-Ends for Neural Speech Enhancement. | Jonah Casebeer, Umut Isik, Shrikant Venkataramani, Arvindh Krishnaswamy |
| 2020 | ICASSP | Two-Step Sound Source Separation: Training On Learned Latent Targets. | Efthymios Tzinis, Shrikant Venkataramani, Zhepei Wang, Y. Cem Sbakan, Paris Smaragdis |
| 2020 | ICASSP | End-To-End Non-Negative Autoencoders for Sound Source Separation. | Shrikant Venkataramani, Efthymios Tzinis, Paris Smaragdis |
| 2019 | ICASSP | Class-conditional Embeddings for Music Source Separation. | Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani, Jonathan Le Roux |
| 2019 | ICASSP | Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures Using Spatial Information. | Efthymios Tzinis, Shrikant Venkataramani, Paris Smaragdis |
| 2018 | ACSSC | End-To-End Source Separation With Adaptive Front-Ends. | Shrikant Venkataramani, Jonah Casebeer, Paris Smaragdis |
| 2017 | ICASSP | A neural network alternative to non-negative audio models. | Paris Smaragdis, Shrikant Venkataramani |
| 2017 | UIST | AutoDub: Automatic Redubbing for Voiceover Editing. | Shrikant Venkataramani, Paris Smaragdis, Gautham J. Mysore |