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Found 5 papers, 3 papers with code
Child Speech Recognition in Human-Robot Interaction: Problem Solved?
Automated Speech Recognition shows superhuman performance for adult English speech on a range of benchmarks, but disappoints when fed children's speech.
Wind tunnel actuation movement system
In this dissertation project, an actuation system was designed for the supersonic wind tunnel at the University of Manchester.
Multi-level graph learning for audio event classification and human-perceived annoyance rating prediction
Specifically, this paper proposes a lightweight multi-level graph learning (MLGL) based on local and global semantic graphs to simultaneously perform audio event classification (AEC) and human annoyance rating prediction (ARP).
AI-based soundscape analysis: Jointly identifying sound sources and predicting annoyance
(4) Generalization tests show that the proposed model's ARP in the presence of model-unknown sound sources is consistent with expert expectations and can explain previous findings from the literature on sound-scape augmentation.
Joint Prediction of Audio Event and Annoyance Rating in an Urban Soundscape by Hierarchical Graph Representation Learning
Sound events in daily life carry rich information about the objective world.
