Literature DB >> 11520641

Modeling temporal and compressive properties of the normal and impaired auditory system.

R P Derleth1, T Dau, B Kollmeier.   

Abstract

Three modifications of a psychoacoustically and physiologically motivated processing model [Dau et al., J. Acoust. Soc. Am. 102 (1997a) 2892-2905] are presented and tested. The modifications aim at simulating sensorineural hearing loss and incorporate a level-dependent peripheral compression whose properties are affected by hearing impairment. Model 1 realizes this difference by introducing for impaired listeners an instantaneous level-dependent expansion prior to the adaptation stage of the model. Model 2 and Model 3 realize a level-dependent compression with time constants of 5 and 15 ms, respectively, for normal hearing and a reduced compression for impaired hearing. In Model 2, the compression occurs after the envelope extraction stage, while in Model 3, envelope extraction follows compression. All models account to a similar extent for the recruitment phenomenon measured with narrow-band stimuli and for forward-masking data of normal-hearing and hearing-impaired subjects using a 20-ms, 2-kHz tone signal and a 1-kHz-wide bandpass noise masker centered at 2 kHz. A clear difference between the different models occurs for the processing of temporally fluctuating stimuli. A modulation-rate-independent increase in modulation-response level for simulating impaired hearing is only predicted by Model 1 while the other two models realize a modulation-rate-dependent increase. Hence, the predictions of Model 2 and Model 3 are in conflict with the results of modulation-matching experiments reported in the literature. It is concluded that key properties of sensorineural hearing loss (altered loudness perception, reduced dynamic range, normal temporal properties but prolonged forward-masking effects) can effectively be modeled by incorporating a fast-acting expansion within the current processing model prior to the nonlinear adaptation stage. Based on these findings, a model of both normal and impaired hearing is proposed which incorporates a fast-acting compressive nonlinearity, representing the cochlear nonlinearity (which is reduced in impaired listeners), followed by an instantaneous expansion and the nonlinear adaptation stage which represent aspects of the retro-cochlear information processing in the auditory system.

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Year:  2001        PMID: 11520641     DOI: 10.1016/s0378-5955(01)00322-7

Source DB:  PubMed          Journal:  Hear Res        ISSN: 0378-5955            Impact factor:   3.208


  6 in total

1.  Behavioral measures of cochlear compression and temporal resolution as predictors of speech masking release in hearing-impaired listeners.

Authors:  Melanie J Gregan; Peggy B Nelson; Andrew J Oxenham
Journal:  J Acoust Soc Am       Date:  2013-10       Impact factor: 1.840

2.  Effects of noise reduction on AM perception for hearing-impaired listeners.

Authors:  D Timothy Ives; Sridhar Kalluri; Olaf Strelcyk; Stanley Sheft; Franck Miermont; Arnaud Coez; Eric Bizaguet; Christian Lorenzi
Journal:  J Assoc Res Otolaryngol       Date:  2014-06-05

3.  Objective Quality and Intelligibility Prediction for Users of Assistive Listening Devices.

Authors:  Tiago H Falk; Vijay Parsa; João F Santos; Kathryn Arehart; Oldooz Hazrati; Rainer Huber; James M Kates; Susan Scollie
Journal:  IEEE Signal Process Mag       Date:  2015-03       Impact factor: 12.551

4.  Inherent envelope fluctuations in forward maskers: Effects of masker-probe delay for listeners with normal and impaired hearing.

Authors:  Adam Svec; Judy R Dubno; Peggy B Nelson
Journal:  J Acoust Soc Am       Date:  2016-03       Impact factor: 1.840

5.  Restoration of hearing by hearing aids: conventional hearing aids - implantable hearing aids - cochlear implants - auditory brainstem implants.

Authors:  R Leuwer; J Müller
Journal:  GMS Curr Top Otorhinolaryngol Head Neck Surg       Date:  2005-09-28

6.  Predicting the perceived sound quality of frequency-compressed speech.

Authors:  Rainer Huber; Vijay Parsa; Susan Scollie
Journal:  PLoS One       Date:  2014-11-17       Impact factor: 3.240

  6 in total

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