4 papers
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…
The CARFAC v2 Cochlear Model in Matlab, NumPy, and JAX
Richard F. Lyon, Rob Schonberger, Malcolm Slaney +2
The open-source CARFAC (Cascade of Asymmetric Resonators with Fast-Acting Compression) cochlear model is upgraded to version 2, with improvements to the Matlab implementation, and…