François Effa

Lightweight Annotation and Class Weight Training for Automatic Estimation of Alarm Audibility in Noise

In an effort to improve occupational health and safety, we recently proposed an approach to assess the audibility of acoustic danger signals. It is based on the use of a binary classifier trained on perceptual data to predict the audibility of acoustic alarms in audio clips. In the present article,…