Vocal Separation using Singer-Vowel Priors Obtained from Polyphonic Audio. - Shrikant Venkataramani; Nagesh Nayak; Preeti Rao; Rajbabu Velmurugan (ISMIR, 2014)

Improving mobile phone based query recognition with a microphone array. - Shrikant Venkataramani; Rajbabu Velmurugan; Preeti Rao (NCC, 2014)

A neural network alternative to non-negative audio models. - Paris Smaragdis; Shrikant Venkataramani (ICASSP, 2017)

Neural network alternatives toconvolutive audio models for source separation. - Shrikant Venkataramani; Y. Cem Sübakan; Paris Smaragdis (MLSP, 2017)

AutoDub: Automatic Redubbing for Voiceover Editing. - Shrikant Venkataramani; Paris Smaragdis; Gautham J. Mysore (UIST, 2017)

End-to-end Source Separation with Adaptive Front-Ends. - Shrikant Venkataramani; Paris Smaragdis (CoRR, 2017)

Neural Network Alternatives to Convolutive Audio Models for Source Separation. - Shrikant Venkataramani; Y. Cem Sübakan; Paris Smaragdis (CoRR, 2017)

End-To-End Source Separation With Adaptive Front-Ends. - Shrikant Venkataramani; Jonah Casebeer; Paris Smaragdis (ACSSC, 2018)

Performance Based Cost Functions for End-to-End Speech Separation. - Shrikant Venkataramani; Ryley Higa; Paris Smaragdis (APSIPA, 2018)

End-to-end Networks for Supervised Single-channel Speech Separation. - Shrikant Venkataramani; Paris Smaragdis (CoRR, 2018)

Class-conditional Embeddings for Music Source Separation. - Prem Seetharaman; Gordon Wichern; Shrikant Venkataramani; Jonathan Le Roux (ICASSP, 2019)

Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures Using Spatial Information. - Efthymios Tzinis; Shrikant Venkataramani; Paris Smaragdis (ICASSP, 2019)

A Style Transfer Approach to Source Separation. - Shrikant Venkataramani; Efthymios Tzinis; Paris Smaragdis (WASPAA, 2019)

Efficient Trainable Front-Ends for Neural Speech Enhancement. - Jonah Casebeer; Umut Isik; Shrikant Venkataramani; Arvindh Krishnaswamy (ICASSP, 2020)

Two-Step Sound Source Separation: Training On Learned Latent Targets. - Efthymios Tzinis; Shrikant Venkataramani; Zhepei Wang; Y. Cem Sübakan; Paris Smaragdis (ICASSP, 2020)

End-To-End Non-Negative Autoencoders for Sound Source Separation. - Shrikant Venkataramani; Efthymios Tzinis; Paris Smaragdis (ICASSP, 2020)

Self-supervised Learning for Speech Enhancement. - Yu-Che Wang; Shrikant Venkataramani; Paris Smaragdis (CoRR, 2020)

End-to-end non-negative auto-encoders: a deep neural alternative to non-negative audio modeling - Shrikant Venkataramani (2020)

Personalized PercepNet: Real-Time, Low-Complexity Target Voice Separation and Enhancement. - Ritwik Giri; Shrikant Venkataramani; Jean-Marc Valin; Umut Isik; Arvindh Krishnaswamy (Interspeech, 2021)

To Dereverb Or Not to Dereverb? Perceptual Studies On Real-Time Dereverberation Targets. - Jean-Marc Valin; Ritwik Giri; Shrikant Venkataramani; Umut Isik; Arvindh Krishnaswamy (CoRR, 2022)

Semi-supervised Time Domain Target Speaker Extraction with Attention. - Zhepei Wang; Ritwik Giri; Shrikant Venkataramani; Umut Isik; Jean-Marc Valin; Paris Smaragdis; Michael M. Goodwin; Arvindh Krishnaswamy (CoRR, 2022)