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ORIGINAL ARTICLE
MANAGED ESTIMATION OF PSYCHOPHYSICAL THRESHOLDS
1
The Eargroup, Antwerp, Belgium
2
Laboratory of Biomedical Physics, University of Antwerp, Belgium
3
Leiden University Centre for Linguistics, Leiden, Holland
Publication date: 2013-09-30
Corresponding author
J Hear Sci 2013;3(3):19-31
ABSTRACT
Objective:
The estimation of perceptive thresholds is a basic element of psychoacoustics. One of the drawbacks of commonly used adaptive algorithms is the lack of reliability when the behavioral response is not robust. To address this issue an adaptive algorithm, TEMA (Threshold Estimation by Managed Algorithm), has been developed.
Design:
TEMA seeks the 50% point on the psychometric curve based on an up-down staircase procedure. Internal controls and stochastic processes aim at enhancing the reliability. The development of TEMA is described, together with its validations with reference to common adaptive procedures. Both Monte Carlo simulations and real subject testing were performed to assess the psychoacoustic threshold in intonation perception tests and the number of stimulus presentations needed.
Study sample:
A total of 29 adult listeners participated in the within-subjects comparison; 19 listeners had normal-hearing, the other 10 were hearing impaired (5 aided, 5 unaided).
Results:
The results show that TEMA outperformed commonly used algorithms in non-robust responders, with a minimal cost in terms of test duration.
Conclusions:
TEMA’s adaptive algorithm was shown to be significantly more resistant to gambling or cheating behavior and threshold drift than traditional, reversal-based algorithms. TEMA increases the accuracy of threshold estimation and the test reliability in non-robust responders. This makes TEMA applicable for automated threshold measurements in clinical settings.
The estimation of perceptive thresholds is a basic element of psychoacoustics. One of the drawbacks of commonly used adaptive algorithms is the lack of reliability when the behavioral response is not robust. To address this issue an adaptive algorithm, TEMA (Threshold Estimation by Managed Algorithm), has been developed.
Design:
TEMA seeks the 50% point on the psychometric curve based on an up-down staircase procedure. Internal controls and stochastic processes aim at enhancing the reliability. The development of TEMA is described, together with its validations with reference to common adaptive procedures. Both Monte Carlo simulations and real subject testing were performed to assess the psychoacoustic threshold in intonation perception tests and the number of stimulus presentations needed.
Study sample:
A total of 29 adult listeners participated in the within-subjects comparison; 19 listeners had normal-hearing, the other 10 were hearing impaired (5 aided, 5 unaided).
Results:
The results show that TEMA outperformed commonly used algorithms in non-robust responders, with a minimal cost in terms of test duration.
Conclusions:
TEMA’s adaptive algorithm was shown to be significantly more resistant to gambling or cheating behavior and threshold drift than traditional, reversal-based algorithms. TEMA increases the accuracy of threshold estimation and the test reliability in non-robust responders. This makes TEMA applicable for automated threshold measurements in clinical settings.
REFERENCES (17)
1.
Yantis PA. Puretone air-conduction threshold testing. In: Katz J (ed.), Handbook of Clinical Audiology, 4th ed. Baltimore; Williams & Wilkins, 1994; 107–108.
3.
Margolis RH, et al. AMTAS®: Automated method for testing auditory sensitivity: validation studies. Int J Audiol, 2010; 49(3): 185–94.
4.
Taylor MM, Creelman CD. PEST: Efficient estimates on probability functions. J Acoust Soc Am, 1967; 41: 782–87.
5.
Levitt H. Transformed up–down methods in psychoacoustics. J Acoust Soc Am, 1971; 49: 467–77.
6.
Green DM. A maximum-likelihood method for estimating thresholds in a yes–no task. J Acoust Soc Am, 1993; 93: 2096–150.
7.
Grassi M, Soranzo A. MLP: A MATLAB toolbox for rapid and reliable auditory threshold estimation. Behavior Research Methods, 2009; 41(1): 20–28.
8.
Treutwein B. Adaptive psychophysical procedures. Vision Res, 1995; 35(17): 2503–22.
9.
Leek MR. Adaptive procedures in psychophysical research. Perception & Psychophysics, 2001; 63(3): 1279–92.
10.
Klein SA. Measuring, estimating, and understanding the psychometric function: A commentary. Perception & Psychophysics, 2001; 63(8): 1421–55.
11.
Amitay S, Irwin A, Hawkey DJC, Cowan JA, Moore DR. A comparison of adaptive procedures for rapid and reliable threshold assessment and training in naive listeners. J Acoust Soc Am, 2006; 119 (3): 1616–25.
12.
Hopkins K, Moore BCJ. Development of a fast method for measuring sensitivity to temporal fine structure information at low frequencies. Int J Audiol, 2010; 49(2): 940–46.
13.
Kaernbach C. Adaptive threshold estimation with unforcedchoice tasks. Perception & Psychophysics, 2001; 63(8): 1377–88.
14.
Sek A, Moore BCJ. Implementation of a fast method for measuring psychophysical tuning curves. Int J Audiol, 2011; 50(4): 237–42.
15.
Govaerts PJ, Daemers K, Yperman M, De Beukelaer C, De Saegher G et al. Auditory speech sounds evaluation (A§E): a new test to assess detection, discrimination and identification in hearing impairment. Cochlear Implants Int, 2006; 7(2): 92–106.
16.
Boersma P. Praat, a system for doing phonetics by computer. Glot Int, 2001; 5(9/10): 341–45.
17.
Green DM. Stimulus selection in adaptive psychophysical procedures. J Acoust Soc Am, 1990; 87: 2662–74.
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