-
PUBLICATION 01/2024EL2021-004/P2023-067Modeling alarm detection in noise for normal and hearing impaired listeners: the effect of elevated thresholds and enlarged auditory filtersA model was developed to assess how elevated absolute thresholds and enlarged auditory filters can impede the ability to detect alarms in noisy background, such alarms being of paramount importance to ensure the safety of workers. Based on previously…
Learn more
-
PUBLICATION 11/2022EL2021-004/P2022-161Convolutional Neural Network for audibility assessment of acoustic alarmsIn noisy workplaces, the audibility of acoustic alarms is essential to ensure worker safety. In practice, some criteria are required in international standards to make sure that the alarms are clearly audible . However, the recommendations may…
Learn more
-
PUBLICATION 06/2023EL2021-004/P2023-098Lightweight Annotation and Class Weight Training for Automatic Estimation of Alarm Audibility in NoiseIn 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…
Learn more
-
PUBLICATION 09/2023EL2021-004/P2023-146Evaluating Acoustic Alarm Audibility in Noisy Environments: an Automatic Approach Using Deep LearningIn noisy occupational settings, the audibility of acoustic alarms is crucial for alerting workers to potential dangers. To ensure the audibility of warning signals, the international standard ISO 7731 requires that alarms be clearly audible…
Learn more
-
PUBLICATION 03/2024EL2021-004/P2023-178Evaluating and Predicting the Audibility of Acoustic Alarms in the Workplace Using Experimental Methods and Deep LearningOccupational noise exposure is a widespread concern, impacting millions of workers. The present research focuses on the audibility of acoustic alarms to ensure worker safety while minimizing exposure to unnecessarily high alarm levels. It…
Learn more
-
STUDY 01/2016EL2016-004
Learn more
-
STUDY 01/2012EL2012-014Perception of danger acoustic signals in noiseOutline of reasons and objectives
In a noisy industrial environment, perception of sound signals indicating danger is essential to keep workers safe from accident risks. When considering making it mandatory to wear personal hearing protectors…Learn more