25 citations · 89 across the 24 of their papers we have counts for
10 papers · 1 filter
Robust Audio Tagging under Class-wise Supervision Unreliability
Yuanbo Hou, Zhaoyi Liu, Tong Ye +4
Weakly labeled datasets such as AudioSet have driven recent progress in audio tagging. However, annotation quality varies across sound classes. Labels may be incomplete, ambiguous,…
Geo-ATBench: A Benchmark for Geospatial Audio Tagging with Geospatial Semantic Context
Yuanbo Hou, Yanru Wu, Qiaoqiao Ren +3
Environmental sound understanding in computational auditory scene analysis (CASA) is often formulated as an audio-only recognition problem. This formulation leaves a persistent dra…
Exploring Differences between Human Perception and Model Inference in Audio Event Recognition
Yizhou Tan, Yanru Wu, Yuanbo Hou +5
Audio Event Recognition (AER) traditionally focuses on detecting and identifying audio events. Most existing AER models tend to detect all potential events without considering thei…
Soundscape Captioning using Sound Affective Quality Network and Large Language Model
Yuanbo Hou, Qiaoqiao Ren, Andrew Mitchell +4
We live in a rich and varied acoustic world, which is experienced by individuals or communities as a soundscape. Computational auditory scene analysis, disentangling acoustic scene…
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…
AI-based soundscape analysis: Jointly identifying sound sources and predicting annoyance
Yuanbo Hou, Qiaoqiao Ren, Huizhong Zhang +4
Soundscape studies typically attempt to capture the perception and understanding of sonic environments by surveying users. However, for long-term monitoring or assessing interventi…
Audio Event-Relational Graph Representation Learning for Acoustic Scene Classification
Yuanbo Hou, Siyang Song, Chuang Yu +2
Most deep learning-based acoustic scene classification (ASC) approaches identify scenes based on acoustic features converted from audio clips containing mixed information entangled…
Joint Prediction of Audio Event and Annoyance Rating in an Urban Soundscape by Hierarchical Graph Representation Learning
Yuanbo Hou, Siyang Song, Cheng Luo +6
Sound events in daily life carry rich information about the objective world. The composition of these sounds affects the mood of people in a soundscape. Most previous approaches on…
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…
Transfer Learning for Improving Singing-voice Detection in Polyphonic Instrumental Music
Yuanbo Hou, Frank K. Soong, Jian Luan +1
Detecting singing-voice in polyphonic instrumental music is critical to music information retrieval. To train a robust vocal detector, a large dataset marked with vocal or non-voca…