Duc-Quang Vu — accepted AI-conference papers

2023

Selinet: A Lightweight Model for Single Channel Speech Separation

Ha Minh Tan, Duc-Quang Vu, Jia-Ching Wang

ICASSP 2023accepted

The time-domain speech separation methods adopting deep learning have obtained impressive performance. However, the computational complexity, model size, and performance are still the challenges for the implementation on real-time low-resource devices. In this paper, we introduce a lightweight yet e…

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2022

Selective Mutual Learning: An Efficient Approach for Single Channel Speech Separation

Ha Minh Tan, Duc-Quang Vu, Chung-Ting Lee, Yung-Hui Li, Jia-Ching Wang

ICASSP 2022accepted

Mutual learning, the related idea to knowledge distillation, is a group of untrained lightweight networks, which simultaneously learn and share knowledge to perform tasks together during training. In this paper, we propose a novel mutual learning approach, namely selective mutual learning. This is t…

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