Literature DB >> 15276683

Factors affecting psychophysical tuning curves for normally hearing subjects.

Karolina Kluk1, Brian C J Moore.   

Abstract

These experiments were conducted to clarify the influence of beats and combination products on psychophysical tuning curves (PTCs) for normally hearing subjects. PTCs for 1- and 4-kHz sinusoidal signals were determined using as maskers a sinusoidal tone and 80-, 160-, and 320-Hz wide bands of noise. PTCs obtained using the sinusoidal masker showed distinct irregularities, particularly for masker frequencies close to the signal frequency. The PTCs determined for the noise maskers were more regular. The broader the masker, the more regular were the shapes of the PTCs. To reduce the detectability of beats produced by the interaction of the signal and masker, a pair of low-frequency tones, called "Modulation detection interference (MDI) tones", was used to introduce beats at the same rate. The MDI tones reduced the threshold level of the sinusoidal masker by up to 20 dB for frequencies within 300 Hz of the signal frequency; a similar but smaller effect was found when an 80-Hz wide masker was used. Adding a lowpass filtered (LF) noise to the sinusoidal or narrowband noise masker did not affect the low-frequency sides of the PTCs, suggesting no influence of combination products. The LF noise did affect the high-frequency sides of the PTCs, but this can be attributed to it reducing off-frequency listening. To achieve a PTC whose shape around the tip is minimally affected by beats, we propose using a noise masker with a bandwidth approximately equal to the bandwidth of the auditory filter for which the PTC is measured.

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Year:  2004        PMID: 15276683     DOI: 10.1016/j.heares.2004.04.012

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


  11 in total

Review 1.  Basic auditory processes involved in the analysis of speech sounds.

Authors:  Brian C J Moore
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-03-12       Impact factor: 6.237

2.  Stimulus-frequency otoacoustic emission suppression tuning in humans: comparison to behavioral tuning.

Authors:  Karolina K Charaziak; Pamela Souza; Jonathan H Siegel
Journal:  J Assoc Res Otolaryngol       Date:  2013-09-07

3.  Evaluating the effects of olivocochlear feedback on psychophysical measures of frequency selectivity.

Authors:  Skyler G Jennings; Elizabeth A Strickland
Journal:  J Acoust Soc Am       Date:  2012-10       Impact factor: 1.840

4.  Spontaneous otoacoustic emissions, threshold microstructure, and psychophysical tuning over a wide frequency range in humans.

Authors:  Rachael R Baiduc; Jungmee Lee; Sumitrajit Dhar
Journal:  J Acoust Soc Am       Date:  2014-01       Impact factor: 1.840

5.  Time-efficient measures of auditory frequency selectivity.

Authors:  Karolina K Charaziak; Pamela Souza; Jonathan H Siegel
Journal:  Int J Audiol       Date:  2011-11-22       Impact factor: 2.117

6.  No Influence of Musicianship on the Effect of Contralateral Stimulation on Frequency Selectivity.

Authors:  Emilia Tarnowska; Andrzej Wicher; Brian C J Moore
Journal:  Trends Hear       Date:  2020 Jan-Dec       Impact factor: 3.293

7.  Auditory filter tuning inferred with short sinusoidal and notched-noise maskers.

Authors:  Skyler G Jennings; Elizabeth A Strickland
Journal:  J Acoust Soc Am       Date:  2012-10       Impact factor: 1.840

8.  No Effect of Musical Training on Frequency Selectivity Estimated Using Three Methods.

Authors:  Brian C J Moore; Jie Wan; Ajanth Varathanathan; Sophie Naddell; Thomas Baer
Journal:  Trends Hear       Date:  2019 Jan-Dec       Impact factor: 3.293

9.  Cochlear dead regions constrain the benefit of combining acoustic stimulation with electric stimulation.

Authors:  Ting Zhang; Michael F Dorman; Rene Gifford; Brian C J Moore
Journal:  Ear Hear       Date:  2014 Jul-Aug       Impact factor: 3.570

10.  A Hearing-Model-Based Active-Learning Test for the Determination of Dead Regions.

Authors:  Josef Schlittenlacher; Richard E Turner; Brian C J Moore
Journal:  Trends Hear       Date:  2018 Jan-Dec       Impact factor: 3.293

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