25 citations · 89 across the 24 of their papers we have counts for
25 papers
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…
Angle-Optimized Partial Disentanglement for Multimodal Emotion Recognition in Conversation
Xinyi Che, Wenbo Wang, Yuanbo Hou +3
Multimodal Emotion Recognition in Conversation (MERC) aims to enhance emotion understanding by integrating complementary cues from text, audio, and visual modalities. Existing MERC…
Sound-Based Recognition of Touch Gestures and Emotions for Enhanced Human-Robot Interaction
Yuanbo Hou, Qiaoqiao Ren, Wenwu Wang +1
Emotion recognition and touch gesture decoding are crucial for advancing human-robot interaction (HRI), especially in social environments where emotional cues and tactile perceptio…
Touch and Tell: Multimodal Decoding of Human Emotions and Social Gestures for Robots
Qiaoqiao Ren, Remko Proesmans, Yuanbo Hou +2
Human emotions are complex and can be conveyed through nuanced touch gestures. Previous research has primarily focused on how humans recognize emotions through touch or on identify…
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…
No More Mumbles: Enhancing Robot Intelligibility through Speech Adaptation
Qiaoqiao Ren, Yuanbo Hou, Dick Botteldooren +1
Spoken language interaction is at the heart of interpersonal communication, and people flexibly adapt their speech to different individuals and environments. It is surprising that…
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping
Qinliang Lin, Cheng Luo, Zenghao Niu +5
Adversarial examples generated by a surrogate model typically exhibit limited transferability to unknown target systems. To address this problem, many transferability enhancement a…
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…
GCT: Gated Contextual Transformer for Sequential Audio Tagging
Yuanbo Hou, Yun Wang, Wenwu Wang +1
Audio tagging aims to assign predefined tags to audio clips to indicate the class information of audio events. Sequential audio tagging (SAT) means detecting both the class informa…
Audio-visual scene classification via contrastive event-object alignment and semantic-based fusion
Yuanbo Hou, Bo Kang, Dick Botteldooren
Previous works on scene classification are mainly based on audio or visual signals, while humans perceive the environmental scenes through multiple senses. Recent studies on audio-…
Event-related data conditioning for acoustic event classification
Yuanbo Hou, Dick Botteldooren
Models based on diverse attention mechanisms have recently shined in tasks related to acoustic event classification (AEC). Among them, self-attention is often used in audio-only ta…
Relation-guided acoustic scene classification aided with event embeddings
Yuanbo Hou, Bo Kang, Wout Van Hauwermeiren +1
In real life, acoustic scenes and audio events are naturally correlated. Humans instinctively rely on fine-grained audio events as well as the overall sound characteristics to dist…
CT-SAT: Contextual Transformer for Sequential Audio Tagging
Yuanbo Hou, Zhaoyi Liu, Bo Kang +2
Sequential audio event tagging can provide not only the type information of audio events, but also the order information between events and the number of events that occur in an au…
Attention-based cross-modal fusion for audio-visual voice activity detection in musical video streams
Yuanbo Hou, Zhesong Yu, Xia Liang +4
Many previous audio-visual voice-related works focus on speech, ignoring the singing voice in the growing number of musical video streams on the Internet. For processing diverse mu…
Rule-embedded network for audio-visual voice activity detection in live musical video streams
Yuanbo Hou, Yi Deng, Bilei Zhu +2
Detecting anchor's voice in live musical streams is an important preprocessing for music and speech signal processing. Existing approaches to voice activity detection (VAD) primari…
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…
Sound Event Detection with Sequentially Labelled Data Based on Connectionist Temporal Classification and Unsupervised Clustering
Yuanbo Hou, Qiuqiang Kong, Shengchen Li +1
Sound event detection (SED) methods typically rely on either strongly labelled data or weakly labelled data. As an alternative, sequentially labelled data (SLD) was proposed. In SL…
Polyphonic audio tagging with sequentially labelled data using CRNN with learnable gated linear units
Yuanbo Hou, Qiuqiang Kong, Jun Wang +1
Audio tagging aims to detect the types of sound events occurring in an audio recording. To tag the polyphonic audio recordings, we propose to use Connectionist Temporal Classificat…