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The model contains outer- and middle-ear transformations, a nonlinear basilar-membrane processing stage, a hair-cell transduction stage, a squaring expansion, an adaptation stage, a 150-Hz lowpass modulation filter, a bandpass modulation filterbank, a constant-variance internal noise, and an optimal detector stage. The model was evaluated in experimental conditions that reflect, to a different degree, effects of compression as well as spectral and temporal resolution in auditory processing. The experiments include intensity discrimination with pure tones and broadband noise, tone-in-noise detection, spectral masking with narrow-band signals and maskers, forward masking with tone signals and tone or noise maskers, and amplitude-modulation detection with narrow- and wideband noise carriers. The model can account for most of the key properties of the data and is more powerful than the original model. The model might be useful as a front end in technical applications.<\/jats:p>","DOI":"10.1121\/1.2924135","type":"journal-article","created":{"date-parts":[[2008,7,17]],"date-time":"2008-07-17T20:12:20Z","timestamp":1216325540000},"page":"422-438","update-policy":"https:\/\/doi.org\/10.1063\/aip-crossmark-policy-page","source":"Crossref","is-referenced-by-count":159,"title":["A computational model of human auditory signal processing and perception"],"prefix":"10.1121","volume":"124","author":[{"given":"Morten L.","family":"Jepsen","sequence":"first","affiliation":[{"name":"Technical University of Denmark Centre for Applied Hearing Research, Acoustic Technology, Department of Electrical Engineering, , DK-2800 Kgs. 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