activity
20232026
most citedNo More Mumbles: Enhancing Robot Intelligibility through Speech Adaptation

8 citations · 16 across the 10 of their papers we have counts for

collaborators

11 papers

cs.SD2026

NAACA: Training-Free NeuroAuditory Attentive Cognitive Architecture with Oscillatory Working Memory for Salience-Driven Attention Gating

Zhongju Yuan, Geraint Wiggins, Dick Botteldooren

Audio provides critical situational cues, yet current Audio Language Models (ALMs) face an attention bottleneck in long-form recordings where dominant background patterns can dilut…

cs.LG2025

BioOSS: A Bio-Inspired Oscillatory State System with Spatio-Temporal Dynamics

Zhongju Yuan, Geraint Wiggins, Dick Botteldooren

Today's deep learning architectures are primarily based on perceptron models, which do not capture the oscillatory dynamics characteristic of biological neurons. Although oscillato…

cs.SD2025

A General Close-loop Predictive Coding Framework for Auditory Working Memory

Zhongju Yuan, Geraint Wiggins, Dick Botteldooren

Auditory working memory is essential for various daily activities, such as language acquisition, conversation. It involves the temporary storage and manipulation of information tha…

q-bio.NC2025

Oscillatory Hierarchical Reservoirs for Human-like Rhythm Perception and Anticipation

Zhongju Yuan, Geraint Wiggins, Dick Botteldooren

Rhythm is a fundamental aspect of human behaviour, present from infancy and deeply embedded in cultural practices. Rhythm anticipation often occurs before surface event onsets, yet…

cs.HC2024

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…

eess.AS2024

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…

q-bio.NC2024★ 3 cited

A Dynamic Systems Approach to Modelling Human-Machine Rhythm Interaction

Zhongju Yuan, Wannes Van Ransbeeck, Geraint Wiggins +1

In exploring the simulation of human rhythmic perception and synchronization capabilities, this study introduces a computational model inspired by the physical and biological proce…

eess.AS2024★ 4 cited

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…

cs.NE2024★ 1 cited

A novel Reservoir Architecture for Periodic Time Series Prediction

Zhongju Yuan, Geraint Wiggins, Dick Botteldooren

This paper introduces a novel approach to predicting periodic time series using reservoir computing. The model is tailored to deliver precise forecasts of rhythms, a crucial aspect…

cs.RO2024★ 8 cited

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…

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…