Literature DB >> 7559165

A two-filter model for frequency discrimination.

H Dai1, Q T Nguyen, D M Green.   

Abstract

In this paper, we explore a two-filter model, the simplest version of multi-channel models for frequency discrimination of simple tones. According to this model, frequency discrimination is based on a change in the relative output levels of two auditory filters, one centered below and the other above the frequency of the tone. This idea can explain the experimental results that frequency discrimination is relatively unaffected by randomization of stimulus level. Moreover, it suggests a close relationship between the ability of listeners to perform frequency discrimination of simple tones and spectral-shape discrimination of two-tone complexes. The ability of three listeners to perform these two tasks was measured at six frequencies (from 0.25 to 8 kHz). The results from the spectral-shape-discrimination task were used to predict frequency-difference limens. There was a high correlation between obtained and predicted values.

Mesh:

Year:  1995        PMID: 7559165     DOI: 10.1016/0378-5955(95)00036-4

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


  7 in total

1.  Frequency discrimination under conditions of comodulation masking release (L).

Authors:  Emily Buss; John H Grose; Joseph W Hall
Journal:  J Acoust Soc Am       Date:  2012-04       Impact factor: 1.840

2.  Using individual differences to test the role of temporal and place cues in coding frequency modulation.

Authors:  Kelly L Whiteford; Andrew J Oxenham
Journal:  J Acoust Soc Am       Date:  2015-11       Impact factor: 1.840

3.  Limiting unwanted cues via random rove applied to the yes-no and multiple-alternative forced choice paradigms.

Authors:  Huanping Dai; Gerald Kidd
Journal:  J Acoust Soc Am       Date:  2009-08       Impact factor: 1.840

4.  Psychometric functions for pure-tone frequency discrimination.

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

5.  Separating the contributions of primary and unwanted cues in psychophysical studies.

Authors:  Huanping Dai; Christophe Micheyl
Journal:  Psychol Rev       Date:  2012-07-30       Impact factor: 8.934

6.  Characterizing the dependence of pure-tone frequency difference limens on frequency, duration, and level.

Authors:  Christophe Micheyl; Li Xiao; Andrew J Oxenham
Journal:  Hear Res       Date:  2012-07-25       Impact factor: 3.208

7.  Pitch perception at very high frequencies: On psychometric functions and integration of frequency information.

Authors:  Hedwig E Gockel; Brian C J Moore; Robert P Carlyon
Journal:  J Acoust Soc Am       Date:  2020-11       Impact factor: 2.482

  7 in total

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