Segment-based speech emotion recognition using recurrent neural networks. - Efthymios Tzinis; Alexandros Potamianos (ACII, 2017)

Engagement detection for children with Autism Spectrum Disorder. - Arodami Chorianopoulou; Efthymios Tzinis; Elias Iosif; Asimenia Papoulidi; Christina Papailiou; Alexandros Potamianos (ICASSP, 2017)

Integrating Recurrence Dynamics for Speech Emotion Recognition. - Efthymios Tzinis; Georgios Paraskevopoulos; Christos Baziotis; Alexandros Potamianos (INTERSPEECH, 2018)

Pattern Search Multidimensional Scaling. - Georgios Paraskevopoulos; Efthymios Tzinis; Emmanouil-Vasileios Vlatakis-Gkaragkounis; Alexandros Potamianos (CoRR, 2018)

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

Unsupervised Low-Rank Representations for Speech Emotion Recognition. - Georgios Paraskevopoulos; Efthymios Tzinis; Nikolaos Ellinas; Theodoros Giannakopoulos; Alexandros Potamianos (INTERSPEECH, 2019)

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

Continual Learning of New Sound Classes Using Generative Replay. - Zhepei Wang; Y. Cem Sübakan; Efthymios Tzinis; Paris Smaragdis; Laurent Charlin (WASPAA, 2019)

Bootstrapped Coordinate Search for Multidimensional Scaling. - Efthymios Tzinis (CoRR, 2019)

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

Improving Universal Sound Separation Using Sound Classification. - Efthymios Tzinis; Scott Wisdom; John R. Hershey; Aren Jansen; Daniel P. W. Ellis (ICASSP, 2020)

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

Asteroid: The PyTorch-Based Audio Source Separation Toolkit for Researchers. - Manuel Pariente; Samuele Cornell; Joris Cosentino; Sunit Sivasankaran; Efthymios Tzinis; Jens Heitkaemper; Michel Olvera; Fabian-Robert Stöter; Mathieu Hu; Juan M. Martín-Doñas; David Ditter; Ariel Frank; et al. (INTERSPEECH, 2020)

Sudo RM -RF: Efficient Networks for Universal Audio Source Separation. - Efthymios Tzinis; Zhepei Wang; Paris Smaragdis (MLSP, 2020)

Unsupervised Sound Separation Using Mixture Invariant Training. - Scott Wisdom; Efthymios Tzinis; Hakan Erdogan; Ron J. Weiss; Kevin W. Wilson; John R. Hershey (NeurIPS, 2020)

Unsupervised Sound Separation Using Mixtures of Mixtures. - Scott Wisdom; Efthymios Tzinis; Hakan Erdogan; Ron J. Weiss; Kevin W. Wilson; John R. Hershey (CoRR, 2020)

Unified Gradient Reweighting for Model Biasing with Applications to Source Separation. - Efthymios Tzinis; Dimitrios Bralios; Paris Smaragdis (ICASSP, 2021)

Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds. - Efthymios Tzinis; Scott Wisdom; Aren Jansen; Shawn Hershey; Tal Remez; Dan Ellis; John R. Hershey (ICLR, 2021)

Separate But Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data. - Efthymios Tzinis; Jonah Casebeer; Zhepei Wang; Paris Smaragdis (WASPAA, 2021)

Sound Event Detection with Adaptive Frequency Selection. - Zhepei Wang; Jonah Casebeer; Adam Clemmitt; Efthymios Tzinis; Paris Smaragdis (WASPAA, 2021)

Improving On-Screen Sound Separation for Open Domain Videos with Audio-Visual Self-attention. - Efthymios Tzinis; Scott Wisdom; Tal Remez; John R. Hershey (CoRR, 2021)

AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation. - Efthymios Tzinis; Scott Wisdom; Tal Remez; John R. Hershey (ECCV (37), 2022)

Continual Self-Training With Bootstrapped Remixing For Speech Enhancement. - Efthymios Tzinis; Yossi Adi; Vamsi K. Ithapu; Buye Xu; Anurag Kumar 003 (ICASSP, 2022)

Heterogeneous Target Speech Separation. - Efthymios Tzinis; Gordon Wichern; Aswin Shanmugam Subramanian; Paris Smaragdis; Jonathan Le Roux (INTERSPEECH, 2022)

RemixIT: Continual Self-Training of Speech Enhancement Models via Bootstrapped Remixing. - Efthymios Tzinis; Yossi Adi; Vamsi K. Ithapu; Buye Xu; Paris Smaragdis; Anurag Kumar 003 (IEEE J. Sel. Top. Signal Process., 2022)

Learning Representations for New Sound Classes With Continual Self-Supervised Learning. - Zhepei Wang; Cem Subakan; Xilin Jiang; Junkai Wu; Efthymios Tzinis; Mirco Ravanelli; Paris Smaragdis (IEEE Signal Process. Lett., 2022)

Compute and Memory Efficient Universal Sound Source Separation. - Efthymios Tzinis; Zhepei Wang; Xilin Jiang; Paris Smaragdis (J. Signal Process. Syst., 2022)

Latent Iterative Refinement for Modular Source Separation. - Dimitrios Bralios; Efthymios Tzinis; Gordon Wichern; Paris Smaragdis; Jonathan Le Roux (ICASSP, 2023)

Optimal Condition Training for Target Source Separation. - Efthymios Tzinis; Gordon Wichern; Paris Smaragdis; Jonathan Le Roux (ICASSP, 2023)

Complete and Separate: Conditional Separation with Missing Target Source Attribute Completion. - Dimitrios Bralios; Efthymios Tzinis; Paris Smaragdis (WASPAA, 2023)

The CHiME-7 UDASE task: Unsupervised domain adaptation for conversational speech enhancement. - Simon Leglaive; Léonie Borne; Efthymios Tzinis; Mostafa Sadeghi; Matthieu Fraticelli; Scott Wisdom; Manuel Pariente; Daniel Pressnitzer; John R. Hershey (CoRR, 2023)