Shrikant Venkataramani

According to our database1, Shrikant Venkataramani authored at least 21 papers between 2014 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Semi-supervised Time Domain Target Speaker Extraction with Attention.
CoRR, 2022

To Dereverb Or Not to Dereverb? Perceptual Studies On Real-Time Dereverberation Targets.
CoRR, 2022

2021
Personalized PercepNet: Real-Time, Low-Complexity Target Voice Separation and Enhancement.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020
End-to-end non-negative auto-encoders: a deep neural alternative to non-negative audio modeling
PhD thesis, 2020

Self-supervised Learning for Speech Enhancement.
CoRR, 2020

End-To-End Non-Negative Autoencoders for Sound Source Separation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Two-Step Sound Source Separation: Training On Learned Latent Targets.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Efficient Trainable Front-Ends for Neural Speech Enhancement.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
A Style Transfer Approach to Source Separation.
Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures Using Spatial Information.
Proceedings of the IEEE International Conference on Acoustics, 2019

Class-conditional Embeddings for Music Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
End-to-end Networks for Supervised Single-channel Speech Separation.
CoRR, 2018

Performance Based Cost Functions for End-to-End Speech Separation.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018

End-To-End Source Separation With Adaptive Front-Ends.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Neural Network Alternatives to Convolutive Audio Models for Source Separation.
CoRR, 2017

End-to-end Source Separation with Adaptive Front-Ends.
CoRR, 2017

AutoDub: Automatic Redubbing for Voiceover Editing.
Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology, 2017

Neural network alternatives toconvolutive audio models for source separation.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

A neural network alternative to non-negative audio models.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2014
Improving mobile phone based query recognition with a microphone array.
Proceedings of the Twentieth National Conference on Communications, 2014

Vocal Separation using Singer-Vowel Priors Obtained from Polyphonic Audio.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014


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