Researchers have developed EarLog, a novel system designed to monitor hearing risk by detecting the acoustic reflex (AR) during everyday listening. Unlike traditional methods that only identify damage after it occurs, EarLog uses playback as an opportunistic probe to observe the risk-accumulating process. The system employs content-conditioned residual sensing to filter out variations from audio content and device specifics, identifying weak AR through loudness-dependent spectral changes. Tested with 81 participants and 16 headphone models, EarLog demonstrated high accuracy in detecting AR events, offering a path toward personalized hearing risk awareness. AI
RANK_REASON The cluster describes a research paper detailing a new sensing system for hearing risk awareness. [lever_c_demoted from research: ic=1 ai=0.4]
- acoustic reflex (AR)
- arXiv
- Audio and Speech Processing
- Electrical Engineering and Systems Science
- Finite Impulse Response filter
- Hugging Face
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