4 papers
The Differentiable Auditory Loop (DAL): An ML Framework for Hyper-Personalized Hearing Aids
Alejandro Ballesta Rosen, Jason Mikiel-Hunter, Julian Maclaren +3
Conventional hearing aids rely on fixed, frequency-dependent amplification and compression to manage reduced sensitivity, which often fails to provide sufficient listening support…
AuditoryHuM: Auditory Scene Label Generation and Clustering using Human-MLLM Collaboration
Henry Zhong, Jörg M. Buchholz, Julian Maclaren +2
Manual annotation of audio datasets is labour intensive, and it is challenging to balance label granularity with acoustic separability. We introduce AuditoryHuM, a novel framework…
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,…
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…