Efthymios Tzinis

Orcid: 0000-0002-1047-1338

According to our database1, Efthymios Tzinis authored at least 31 papers between 2017 and 2023.

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

Timeline

Legend:

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Links

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Bibliography

2023
The CHiME-7 UDASE task: Unsupervised domain adaptation for conversational speech enhancement.
CoRR, 2023

Complete and Separate: Conditional Separation with Missing Target Source Attribute Completion.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

Optimal Condition Training for Target Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Latent Iterative Refinement for Modular Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Compute and Memory Efficient Universal Sound Source Separation.
J. Signal Process. Syst., 2022

Learning Representations for New Sound Classes With Continual Self-Supervised Learning.
IEEE Signal Process. Lett., 2022

RemixIT: Continual Self-Training of Speech Enhancement Models via Bootstrapped Remixing.
IEEE J. Sel. Top. Signal Process., 2022

Heterogeneous Target Speech Separation.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Continual Self-Training With Bootstrapped Remixing For Speech Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2022

AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Improving On-Screen Sound Separation for Open Domain Videos with Audio-Visual Self-attention.
CoRR, 2021

Sound Event Detection with Adaptive Frequency Selection.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

Separate But Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds.
Proceedings of the 9th International Conference on Learning Representations, 2021

Unified Gradient Reweighting for Model Biasing with Applications to Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Unsupervised Sound Separation Using Mixtures of Mixtures.
CoRR, 2020

Unsupervised Sound Separation Using Mixture Invariant Training.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sudo RM -RF: Efficient Networks for Universal Audio Source Separation.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Asteroid: The PyTorch-Based Audio Source Separation Toolkit for Researchers.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

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

Improving Universal Sound Separation Using Sound Classification.
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

2019
Bootstrapped Coordinate Search for Multidimensional Scaling.
CoRR, 2019

Continual Learning of New Sound Classes Using Generative Replay.
Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 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 Low-Rank Representations for Speech Emotion Recognition.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

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

2018
Pattern Search Multidimensional Scaling.
CoRR, 2018

Integrating Recurrence Dynamics for Speech Emotion Recognition.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017
Engagement detection for children with Autism Spectrum Disorder.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Segment-based speech emotion recognition using recurrent neural networks.
Proceedings of the Seventh International Conference on Affective Computing and Intelligent Interaction, 2017


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