8 citations · 13 across the 15 of their papers we have counts for
15 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,…
Mapping Embodied Affective Touch Strategies on a Humanoid Robot
Qiaoqiao Ren, Omar Eldardeer, Francesca Cocchella +3
Affective touch in human-robot interaction is shaped not only by emotional intent, but also by robot embodiment, including touch location, physical constraints, and perceived agenc…
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…
Designing Robots with, not for: A Co-Design Framework for Empowering Interactions in Forensic Psychiatry
Qiaoqiao Ren, Remko Proesmans, Arend Pissens +7
Forensic mental health care involves the treatment of individuals with severe mental disorders who have committed violent offences. These settings are often characterized by high l…
Touch Speaks, Sound Feels: A Multimodal Approach to Affective and Social Touch from Robots to Humans
Qiaoqiao Ren, Tony Belpaeme
Affective tactile interaction constitutes a fundamental component of human communication. In natural human-human encounters, touch is seldom experienced in isolation; rather, it is…
Exploring LLM-generated Culture-specific Affective Human-Robot Tactile Interaction
Qiaoqiao Ren, Tony Belpaeme
As large language models (LLMs) become increasingly integrated into robotic systems, their potential to generate socially and culturally appropriate affective touch remains largely…
Situated Haptic Interaction: Exploring the Role of Context in Affective Perception of Robotic Touch
Qiaoqiao Ren, Tony Belpaeme
Affective interaction is not merely about recognizing emotions; it is an embodied, situated process shaped by context and co-created through interaction. In affective computing, th…
Touched by ChatGPT: Using an LLM to Drive Affective Tactile Interaction
Qiaoqiao Ren, Tony Belpaeme
Touch is a fundamental aspect of emotion-rich communication, playing a vital role in human interaction and offering significant potential in human-robot interaction. Previous resea…
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…
Tactile interaction with social robots influences attitudes and behaviour
Qiaoqiao Ren, Tony Belpaeme
Tactile interaction plays an essential role in human-to-human interaction. People gain comfort and support from tactile interactions with others and touch is an important predictor…
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…
Child Speech Recognition in Human-Robot Interaction: Problem Solved?
Ruben Janssens, Eva Verhelst, Giulio Antonio Abbo +3
Automated Speech Recognition shows superhuman performance for adult English speech on a range of benchmarks, but disappoints when fed children's speech. This has long sat in the wa…
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…