PSYCHOACOUSTICS: a comprehensive MATLAB toolbox for auditory testing

SORANZO, Alessandro and GRASSI, Massimo (2014). PSYCHOACOUSTICS: a comprehensive MATLAB toolbox for auditory testing. Frontiers in Psychology, 5 (712).

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Official URL: http://journal.frontiersin.org/Journal/10.3389/fps...
Open Access URL: https://www.frontiersin.org/articles/10.3389/fpsyg... (Published)
Link to published version:: https://doi.org/10.3389/fpsyg.2014.00712
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Abstract

PSYCHOACOUSTICS is a new MATLAB toolbox which implements three classic adaptive procedures for auditory threshold estimation. The first includes those of the Staircase family (method of limits, simple up-down and transformed up-down); the second is the Parameter Estimation by Sequential Testing (PEST); and the third is the Maximum Likelihood Procedure (MLP). The toolbox comes with more than twenty built-in experiments each provided with the recommended (default) parameters. However, if desired, these parameters can be modified through an intuitive and user friendly graphical interface and stored for future use (no programming skills are required). Finally, PSYCHOACOUSTICS is very flexible as it comes with several signal generators and can be easily extended for any experiment.

Item Type: Article
Additional Information: Corrigendum published 2017 "In the “ACKNOWLEDGMENTS” there was missing information. The information is the following: this study was supported by the grant CPDA123458 (“Progetto di ricerca di Ateneo”) awarded by the University of Padova to Massimo Grassi. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way." See publisher link. SORANZO, Alessandro and GRASSI, Massimo (2017). Corrigendum: PSYCHOACOUSTICS: a comprehensive MATLAB toolbox for auditory testing. Frontiers in psychology, 8.
Research Institute, Centre or Group - Does NOT include content added after October 2018: Psychology Research Group
Identification Number: https://doi.org/10.3389/fpsyg.2014.00712
Depositing User: Alessandro Soranzo
Date Deposited: 23 Jul 2014 11:10
Last Modified: 18 Mar 2021 06:26
URI: https://shura.shu.ac.uk/id/eprint/8259

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