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Shrikant Venkataramani
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2020 – today
- 2022
- [i14]Jean-Marc Valin, Ritwik Giri, Shrikant Venkataramani, Umut Isik, Arvindh Krishnaswamy:
To Dereverb Or Not to Dereverb? Perceptual Studies On Real-Time Dereverberation Targets. CoRR abs/2206.07917 (2022) - [i13]Zhepei Wang, Ritwik Giri, Shrikant Venkataramani, Umut Isik, Jean-Marc Valin, Paris Smaragdis, Michael M. Goodwin, Arvindh Krishnaswamy:
Semi-supervised Time Domain Target Speaker Extraction with Attention. CoRR abs/2206.09072 (2022) - 2021
- [c14]Ritwik Giri, Shrikant Venkataramani, Jean-Marc Valin, Umut Isik, Arvindh Krishnaswamy:
Personalized PercepNet: Real-Time, Low-Complexity Target Voice Separation and Enhancement. Interspeech 2021: 1124-1128 - 2020
- [b1]Shrikant Venkataramani:
End-to-end non-negative auto-encoders: a deep neural alternative to non-negative audio modeling. University of Illinois Urbana-Champaign, USA, 2020 - [c13]Efthymios Tzinis, Shrikant Venkataramani, Zhepei Wang, Y. Cem Sübakan, Paris Smaragdis:
Two-Step Sound Source Separation: Training On Learned Latent Targets. ICASSP 2020: 31-35 - [c12]Shrikant Venkataramani, Efthymios Tzinis, Paris Smaragdis:
End-To-End Non-Negative Autoencoders for Sound Source Separation. ICASSP 2020: 116-120 - [c11]Jonah Casebeer, Umut Isik, Shrikant Venkataramani, Arvindh Krishnaswamy:
Efficient Trainable Front-Ends for Neural Speech Enhancement. ICASSP 2020: 6639-6643 - [i12]Jonah Casebeer, Umut Isik, Shrikant Venkataramani, Arvindh Krishnaswamy:
Efficient Trainable Front-Ends for Neural Speech Enhancement. CoRR abs/2002.09286 (2020) - [i11]Yu-Che Wang, Shrikant Venkataramani, Paris Smaragdis:
Self-supervised Learning for Speech Enhancement. CoRR abs/2006.10388 (2020)
2010 – 2019
- 2019
- [c10]Efthymios Tzinis, Shrikant Venkataramani, Paris Smaragdis:
Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures Using Spatial Information. ICASSP 2019: 81-85 - [c9]Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani, Jonathan Le Roux:
Class-conditional Embeddings for Music Source Separation. ICASSP 2019: 301-305 - [c8]Shrikant Venkataramani, Efthymios Tzinis, Paris Smaragdis:
A Style Transfer Approach to Source Separation. WASPAA 2019: 170-174 - [i10]Shrikant Venkataramani, Efthymios Tzinis, Paris Smaragdis:
A Style Transfer Approach to Source Separation. CoRR abs/1905.00151 (2019) - [i9]Efthymios Tzinis, Shrikant Venkataramani, Zhepei Wang, Y. Cem Sübakan, Paris Smaragdis:
Two-Step Sound Source Separation: Training on Learned Latent Targets. CoRR abs/1910.09804 (2019) - [i8]Shrikant Venkataramani, Efthymios Tzinis, Paris Smaragdis:
End-to-end Non-Negative Autoencoders for Sound Source Separation. CoRR abs/1911.00102 (2019) - 2018
- [c7]Shrikant Venkataramani, Jonah Casebeer, Paris Smaragdis:
End-To-End Source Separation With Adaptive Front-Ends. ACSSC 2018: 684-688 - [c6]Shrikant Venkataramani, Ryley Higa, Paris Smaragdis:
Performance Based Cost Functions for End-to-End Speech Separation. APSIPA 2018: 350-355 - [i7]Shrikant Venkataramani, Ryley Higa, Paris Smaragdis:
Performance Based Cost Functions for End-to-End Speech Separation. CoRR abs/1806.00511 (2018) - [i6]Shrikant Venkataramani, Paris Smaragdis:
End-to-end Networks for Supervised Single-channel Speech Separation. CoRR abs/1810.02568 (2018) - [i5]Efthymios Tzinis, Shrikant Venkataramani, Paris Smaragdis:
Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures using Spatial Information. CoRR abs/1811.01531 (2018) - [i4]Prem Seetharaman, Gordon Wichern, Shrikant Venkataramani, Jonathan Le Roux:
Class-conditional embeddings for music source separation. CoRR abs/1811.03076 (2018) - 2017
- [c5]Paris Smaragdis, Shrikant Venkataramani:
A neural network alternative to non-negative audio models. ICASSP 2017: 86-90 - [c4]Shrikant Venkataramani, Y. Cem Sübakan, Paris Smaragdis:
Neural network alternatives toconvolutive audio models for source separation. MLSP 2017: 1-6 - [c3]Shrikant Venkataramani, Paris Smaragdis, Gautham J. Mysore:
AutoDub: Automatic Redubbing for Voiceover Editing. UIST 2017: 533-538 - [i3]Shrikant Venkataramani, Paris Smaragdis:
End-to-end Source Separation with Adaptive Front-Ends. CoRR abs/1705.02514 (2017) - [i2]Shrikant Venkataramani, Y. Cem Sübakan, Paris Smaragdis:
Neural Network Alternatives to Convolutive Audio Models for Source Separation. CoRR abs/1709.07908 (2017) - 2016
- [i1]Paris Smaragdis, Shrikant Venkataramani:
A Neural Network Alternative to Non-Negative Audio Models. CoRR abs/1609.03296 (2016) - 2014
- [c2]Shrikant Venkataramani, Nagesh Nayak, Preeti Rao, Rajbabu Velmurugan:
Vocal Separation using Singer-Vowel Priors Obtained from Polyphonic Audio. ISMIR 2014: 283-288 - [c1]Shrikant Venkataramani, Rajbabu Velmurugan, Preeti Rao:
Improving mobile phone based query recognition with a microphone array. NCC 2014: 1-6
Coauthor Index
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