Literature DB >> 1939901

Psychometric functions for level discrimination.

S Buus1, M Florentine.   

Abstract

To determine the form of psychometric functions for 2I,2AFC level discrimination (commonly called intensity discrimination), ten increment levels were presented in random order within blocks of 100 trials. Stimuli were chosen to encompass a wide range of conditions and difference limens: eight 10-ms tones had frequencies of 0.25, 1, 8, or 14 kHz and levels of 30, 60, or 90 dB SPL; two 500-ms stimuli also were tested: a 1-kHz tone at 90 dB SPL and broadband noise at 63 dB SPL. For each condition, at least 20 blocks were presented in mixed order. Results for five normal listeners show that the sensitivity, d', is nearly proportional to delta L (= 20 log [(p + delta p)/p], where p is sound pressure) over the entire range of difference limens. When d' is plotted against Weber fractions for sound pressure, delta p/p, or intensity, delta I/I, exponents of the best-fitting power functions decrease with increasing difference limens and are less than unity for large difference limens. The approximately proportional relation between d' and delta L agrees with modern multichannel models of level discrimination and with psychometric functions derived for single auditory-nerve fibers. The results also support the notion that the difference limen, expressed as delta LDL and plotted on a logarithmic scale, is an appropriate representation of performance in level-discrimination experiments.

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Year:  1991        PMID: 1939901     DOI: 10.1121/1.401928

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


  18 in total

Review 1.  Quantifying the information in auditory-nerve responses for level discrimination.

Authors:  H Steven Colburn; Laurel H Carney; Michael G Heinz
Journal:  J Assoc Res Otolaryngol       Date:  2003-09

2.  The effect of narrow-band noise maskers on increment detection.

Authors:  Jessica J Messersmith; Harisadhan Patra; Walt Jesteadt
Journal:  J Acoust Soc Am       Date:  2010-11       Impact factor: 1.840

3.  Level discrimination of speech sounds by hearing-impaired individuals with and without hearing amplification.

Authors:  William M Whitmer; Michael A Akeroyd
Journal:  Ear Hear       Date:  2011 May-Jun       Impact factor: 3.570

4.  Associative learning shapes the neural code for stimulus magnitude in primary auditory cortex.

Authors:  Daniel B Polley; Marc A Heiser; David T Blake; Christoph E Schreiner; Michael M Merzenich
Journal:  Proc Natl Acad Sci U S A       Date:  2004-11-08       Impact factor: 11.205

5.  Sensory constraints on auditory identification of the material and geometric properties of struck bars.

Authors:  Robert A Lutfi; Christophe N J Stoelinga
Journal:  J Acoust Soc Am       Date:  2010-01       Impact factor: 1.840

6.  Effects of external noise on detection of intensity increments.

Authors:  Walt Jesteadt; Kim S Schairer; Lance Nizami; Samar Khaddam; Stephen T Neely
Journal:  J Acoust Soc Am       Date:  2009-10       Impact factor: 1.840

7.  Pitch discrimination learning: specificity for pitch and harmonic resolvability, and electrophysiological correlates.

Authors:  Samuele Carcagno; Christopher J Plack
Journal:  J Assoc Res Otolaryngol       Date:  2011-04-12

8.  Relative effects of increment and pedestal duration on the detection of intensity increments.

Authors:  Daniel L Valente; Harisadhan Patra; Walt Jesteadt
Journal:  J Acoust Soc Am       Date:  2011-04       Impact factor: 1.840

9.  Psychometric functions for pure-tone frequency discrimination.

Authors:  Huanping Dai; Christophe Micheyl
Journal:  J Acoust Soc Am       Date:  2011-07       Impact factor: 1.840

10.  An evaluation of psychophysical models of auditory change perception.

Authors:  Christophe Micheyl; Christian Kaernbach; Laurent Demany
Journal:  Psychol Rev       Date:  2008-10       Impact factor: 8.934

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