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cs.SD2026
AuditoryHuM: Auditory Scene Label Generation and Clustering using Human-MLLM Collaboration
Henry Zhong, Jörg M. Buchholz, Julian Maclaren +2
Manual annotation and clustering of audio datasets is labour intensive. We introduce AuditoryHuM, a training-free framework for the unsupervised discovery and clustering of auditor…
cs.SD2025
A dataset and model for auditory scene recognition for hearing devices: AHEAD-DS and OpenYAMNet
Henry Zhong, Jörg M. Buchholz, Julian Maclaren +2
Scene recognition is important for hearing devices, however; this is challenging, in part because of the limitations of existing datasets. Datasets often lack public accessibility,…
cs.SD2025
Identifying Hearing Difficulty Moments in Conversational Audio
Jack Collins, Adrian Buzea, Chris Collier +4
Individuals regularly experience Hearing Difficulty Moments in everyday conversation. Identifying these moments of hearing difficulty has particular significance in the field of he…