5 papers
Improving Anomalous Sound Detection with Attribute-aware Representation from Domain-adaptive Pre-training
Xin Fang, Guirui Zhong, Qing Wang +7
Anomalous Sound Detection (ASD) is often formulated as a machine attribute classification task, a strategy necessitated by the common scenario where only normal data is available f…
An Enhanced Audio Feature Tailored for Anomalous Sound Detection Based on Pre-trained Models
Guirui Zhong, Qing Wang, Jun Du +3
Anomalous Sound Detection (ASD) aims at identifying anomalous sounds from machines and has gained extensive research interests from both academia and industry. However, the uncerta…
BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering
Guanghui Zhu, Xin Fang, Feng Cheng +4
Machine learning has been making great success in many application areas. However, for the non-expert practitioners, it is always very challenging to address a machine learning tas…
PaMMA-Net: Plasmas magnetic measurement evolution based on data-driven incremental accumulative prediction
Yunfei Ling, Zijie Liu, Jun Du +4
An accurate evolution model is crucial for effective control and in-depth study of fusion plasmas. Evolution methods based on physical models often encounter challenges such as ins…
MVANet: Multi-Stage Video Attention Network for Sound Event Localization and Detection with Source Distance Estimation
Hengyi Hong, Qing Wang, Jun Du +3
Sound event localization and detection with source distance estimation (3D SELD) involves not only identifying the sound category and its direction-of-arrival (DOA) but also predic…