title: A psychoacoustical model for specifying the level and spectrum of acoustic warning signals in the workplace.
abstract: A psychoacoustic model is presented to facilitate the installation of acoustic warning devices in noisy settings, reflecting a major upgrade of a former tool, Detectsound. The model can be used to estimate the optimal level and spectrum of acoustic warning signals based on the noise field in the workplace, the hearing status of workers, and the attenuation provided by hearing protectors. The new version can be applied to a wider range of situations. Analyses can now be conducted to meet the functional requirements for a specific worker or to suit the needs for a group of co-workers sharing a work area. Computation of optimal warning signals can also be made from estimated hearing parameters based on the worker age, gender, and level and duration of noise exposure. The results of a laboratory validation study showed that the mean error in estimating detection thresholds for normal hearing individuals is typically within +/-1 dB with a standard deviation of less than 2.5 dB in white noise or continuous noise fields. The model tends to yield slightly overestimated warning signal detection thresholds in fluctuating noises. Proper application of the tool also requires consideration of the variability in estimating noise levels, hearing status, and hearing protector attenuation under field conditions to ensure that acoustic warning signals are sufficiently loud and well adjusted in practice.
authors.affiliation: Audiology and Speech Language Pathology Program, University of Ottawa, Ottawa, Ontario, Canada.
authors.forename: Yun
authors.initials: Y
authors.lastname: Zheng
authors.forename: Christian
authors.initials: C
authors.lastname: Giguère
authors.forename: Chantal
authors.initials: C
authors.lastname: Laroche
authors.forename: Catherine
authors.initials: C
authors.lastname: Sabourin
authors.forename: Ariel
authors.initials: A
authors.lastname: Gagné
authors.forename: Mélissa
authors.initials: M
authors.lastname: Elyea
mesh_terms: D000328:Adult; D000465:Algorithms; D001307:Auditory Perception; D006317:Hearing Loss, Noise-Induced / Q000517:prevention & control*; D006801:Humans; D008962:Models, Theoretical; D009623:Noise, Occupational; D011571:Psychoacoustics; D017132:Workplace