Differentiable Auditory Loop framework for hyper-personalized hearing aids

Arxiv CS.SD (Sound/Audio ML)

The paper presents DAL, an ML framework for hearing aids that learns personalized auditory processing via differentiable signal processing. It aims to outperform traditional fixed amplification in complex multi-speaker environments.

machine-learning

Arxiv CS.SD (Sound/Audio ML)·Alejandro Ballesta RosenJason Mikiel-HunterJulian MaclarenJack CollinsRichard F. LyonSimon Carlile

7 days ago