‘Detectsound’: A computerized model for predicting the detectability of warning signals in noisy workplaces

Abstract Every year fatal injuries occur in noisy workplaces because a warning signal is not heard. Sound detection in competing noise is quite well documented, but there are very few practical tools allowing direct prediction of the ability to detect acoustic signals in varied noisy environments. The Groupe d'Acoustique de l'Universite de Montreal has developed a computerized model, called ‘Detectsound’, on an IBM-PC compatible, which can predict the capability of workers to detect auditory warning signals in noise. The model can take into account the effect of age on auditory sensitivity and frequency selectivity. This model is based essentially on loudness summation and excitation patterns. The foundations of the model and its various applications are presented. The ultimate goal of this research project is to supply practical means to health and safety personnel to (1) assess the audibility of warning signals and (2) design safe sound signals.