Construction of a joint peak-interval histogram using higher-order cumulant-based inverse filtering.
1998 Int Conf Acoustics, Speech, and Signal Processing, May 12-15, 1998, Seattle, Washington, 1998 May; :1-4
Conventional metrics used to quantify signals in noise/hearing research rely primarily on time-averaged energy and spectral analyses. Such metrics, while appropriate for Gaussian-distributed waveforms, are of limited value in the more complex sound environments encountered in industrial/military settings that have nonGaussian and nonstationary-distributed waveforms. Recent research has shown that metrics incorporating the temporal characteristics of a waveform are needed to evaluate hazardous acoustic environments for purposes of hearing conservation. The joint peak-interval histogram is a prospective candidate for use in such an application. This paper shows that the joint peak-interval histogram can be obtained from an estimation of the temporal pattern of a complex noise waveform by using higher-order cumulate-based inverse filtering.
Noise-measurement; Hearing-conservation; Hearing-disorders; Noise-exposure; Hearing-loss; Noise-waves; Analytical-processes; Noise-induced-hearing-loss; Hearing-protection; Industrial-environment
Auditory Research Laboratory, Plattsburgh State University, 101 Broad Street, Plattsburgh, NY 12901, USA
Research Tools and Approaches; Exposure Assessment Methods
The 1998 International Conference on Acoustics, Speech, and Signal Processing
State University of New York, Plattsburgh, NY