A QUANTITATIVE MODEL OF THE EFFECTIVE SIGNAL-PROCESSING IN THE AUDITORY-SYSTEM .2. SIMULATIONS AND MEASUREMENTS

Citation
T. Dau et al., A QUANTITATIVE MODEL OF THE EFFECTIVE SIGNAL-PROCESSING IN THE AUDITORY-SYSTEM .2. SIMULATIONS AND MEASUREMENTS, The Journal of the Acoustical Society of America, 99(6), 1996, pp. 3623-3631
Citations number
23
Categorie Soggetti
Acoustics
ISSN journal
00014966
Volume
99
Issue
6
Year of publication
1996
Pages
3623 - 3631
Database
ISI
SICI code
0001-4966(1996)99:6<3623:AQMOTE>2.0.ZU;2-1
Abstract
This and the accompanying paper [Dau er nl., J. Acoust. Sec. Am. 99, 3 615-3622 (1996)] describe a quantitative model for signal processing i n the auditory system. The model combines several stages of preprocess ing with a decision device that has the properties of an optimal detec tor. The present paper compares model predictions for a variety of exp erimental conditions with the performance of human observers. Simulate d and psychophysically determined thresholds were estimated with a thr ee-interval forced-choice adaptive procedure. All model parameters wer e kept constant for all simulations discussed in this paper. For froze n-noise maskers, the effects of the following stimulus parameters were examined: signal frequency, signal phase, temporal position and durat ion of the signal within the masker under conditions of simultaneous m asking, masker level, and masker duration under conditions of forward masking, and backward masking. The influence of signal phase and the t emporal position of the signal, including positions at masker onset, w as determined for a random-noise masker and compared with correspondin g results obtained for a frozen noise. The model describes all the exp erimental data with an accuracy of a few dB with the following excepti ons: forward-masked thresholds obtained with brief maskers are too hig h and the change in threshold with a change in signal duration is too small. Both discrepancies have their origin in the adaptation stages i n the preprocessing part of the model. On the basis of the wide range of simulated conditions we conclude that the present model is a succes sful approach to describing the detection process in the human auditor y system. (C) 1996 Acoustical Society of America.