Literature DB >> 3693697

Detection of simple and complex changes of spectral shape.

L R Bernstein1, D M Green.   

Abstract

In most of the previous studies (see Green, 1987) concerning the detection of a change in spectral shape, or "profile analysis," the listener's task was to detect an increment to a single component of an otherwise equal-amplitude, multicomponent background. An important theoretical issue is whether listeners' sensitivity to more complex spectral changes can be predicted from these results. In the present investigation, the sensitivity of a single group of listeners to a wide variety of simple and complex spectral changes was determined. After collecting the data, it was noted that almost all the thresholds could be predicted by a simple calculation scheme that assumed detection of a change in spectral shape occurs when the addition of the signal to the flat, multicomponent background produces a sufficient difference in level between only two regions of the spectrum. Unfortunately, this scheme, while successful for our limited set of data, fails to account for other "profile" data, namely, those obtained when the number of components is altered.

Mesh:

Year:  1987        PMID: 3693697     DOI: 10.1121/1.395147

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  10 in total

1.  Spectral integration plasticity in cat auditory cortex induced by perceptual training.

Authors:  M Diane Keeling; Barbara M Calhoun; Katharina Krüger; Daniel B Polley; Christoph E Schreiner
Journal:  Exp Brain Res       Date:  2007-09-21       Impact factor: 1.972

2.  Assessing the role of spectral and intensity cues in spectral ripple detection and discrimination in cochlear-implant users.

Authors:  Elizabeth S Anderson; Andrew J Oxenham; Peggy B Nelson; David A Nelson
Journal:  J Acoust Soc Am       Date:  2012-12       Impact factor: 1.840

3.  Analysis of spectral shape in the barn owl auditory system.

Authors:  U Langemann; M A Zokoll; G M Klump
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2005-09-29       Impact factor: 1.836

4.  Spectro-temporal cues enhance modulation sensitivity in cochlear implant users.

Authors:  Yi Zheng; Monty Escabí; Ruth Y Litovsky
Journal:  Hear Res       Date:  2017-05-26       Impact factor: 3.208

5.  Validation of a clinical assessment of spectral-ripple resolution for cochlear implant users.

Authors:  Ward R Drennan; Elizabeth S Anderson; Jong Ho Won; Jay T Rubinstein
Journal:  Ear Hear       Date:  2014 May-Jun       Impact factor: 3.570

6.  Relationship between auditory function of nonimplanted ears and bimodal benefit.

Authors:  Ting Zhang; Anthony J Spahr; Michael F Dorman; Aniket Saoji
Journal:  Ear Hear       Date:  2013 Mar-Apr       Impact factor: 3.570

7.  Current-level discrimination and spectral profile analysis in multi-channel electrical stimulation.

Authors:  Matthew J Goupell; Bernhard Laback; Piotr Majdak; Wolf-Dieter Baumgartner
Journal:  J Acoust Soc Am       Date:  2008-11       Impact factor: 1.840

8.  Effect of level on spectral-ripple detection threshold for listeners with normal hearing and hearing loss.

Authors:  Erik J Jorgensen; Ryan W McCreery; Benjamin J Kirby; Marc Brennan
Journal:  J Acoust Soc Am       Date:  2020-08       Impact factor: 1.840

9.  The role of excitation-pattern cues in the detection of frequency shifts in bandpass-filtered complex tones.

Authors:  Frederic Marmel; Christopher J Plack; Kathryn Hopkins; Robert P Carlyon; Hedwig E Gockel; Brian C J Moore
Journal:  J Acoust Soc Am       Date:  2015-05       Impact factor: 1.840

10.  Reaction Time Sensitivity to Spectrotemporal Modulations of Sound.

Authors:  Lidwien C E Veugen; A John van Opstal; Marc M van Wanrooij
Journal:  Trends Hear       Date:  2022 Jan-Dec       Impact factor: 3.496

  10 in total

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