114 citations · 650 across the 26 of their papers we have counts for
5 papers · 2 filters
Continual self-training with bootstrapped remixing for speech enhancement
Efthymios Tzinis, Yossi Adi, Vamsi K. Ithapu +2
We propose RemixIT, a simple and novel self-supervised training method for speech enhancement. The proposed method is based on a continuously self-training scheme that overcomes li…
Improving On-Screen Sound Separation for Open-Domain Videos with Audio-Visual Self-Attention
Efthymios Tzinis, Scott Wisdom, Tal Remez +1
We introduce a state-of-the-art audio-visual on-screen sound separation system which is capable of learning to separate sounds and associate them with on-screen objects by looking…
Sound Event Detection with Adaptive Frequency Selection
Zhepei Wang, Jonah Casebeer, Adam Clemmitt +2
In this work, we present HIDACT, a novel network architecture for adaptive computation for efficiently recognizing acoustic events. We evaluate the model on a sound event detection…
Separate but Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data
Efthymios Tzinis, Jonah Casebeer, Zhepei Wang +1
We propose FEDENHANCE, an unsupervised federated learning (FL) approach for speech enhancement and separation with non-IID distributed data across multiple clients. We simulate a r…
Compute and memory efficient universal sound source separation
Efthymios Tzinis, Zhepei Wang, Xilin Jiang +1
Recent progress in audio source separation lead by deep learning has enabled many neural network models to provide robust solutions to this fundamental estimation problem. In this…