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…
Multi-Domain Audio Question Answering Benchmark Toward Acoustic Content Reasoning
Chao-Han Huck Yang, Sreyan Ghosh, Qing Wang +14
We present Task 5 of the DCASE 2025 Challenge: an Audio Question Answering (AQA) benchmark spanning multiple domains of sound understanding. This task defines three QA subsets (Bio…
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…
Exploring Audio-Visual Information Fusion for Sound Event Localization and Detection In Low-Resource Realistic Scenarios
Ya Jiang, Qing Wang, Jun Du +9
This study presents an audio-visual information fusion approach to sound event localization and detection (SELD) in low-resource scenarios. We aim at utilizing audio and video moda…