62 citations · 100 across the 26 of their papers we have counts for
Showing eess.ASShow all
2 papers · 1 filter
eess.AS2023
Multi-level graph learning for audio event classification and human-perceived annoyance rating prediction
Yuanbo Hou, Qiaoqiao Ren, Siyang Song +3
WHO's report on environmental noise estimates that 22 M people suffer from chronic annoyance related to noise caused by audio events (AEs) from various sources. Annoyance may lead…
eess.AS2022★ 2 cited
Multi-dimensional Edge-based Audio Event Relational Graph Representation Learning for Acoustic Scene Classification
Yuanbo Hou, Siyang Song, Chuang Yu +3
Most existing deep learning-based acoustic scene classification (ASC) approaches directly utilize representations extracted from spectrograms to identify target scenes. However, th…