MLP: a MATLAB toolbox for rapid and reliable auditory threshold estimation

GRASSI, Massimo and SORANZO, Alessandro (2009). MLP: a MATLAB toolbox for rapid and reliable auditory threshold estimation. Behavior Research Methods, 41 (1), 20-28.

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Official URL: http://www.springer.com/psychology/cognitive+psych...
Link to published version:: https://doi.org/10.3758/BRM.41.1.20
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Abstract

In this paper, we present MLP, a MATLAB toolbox enabling auditory thresholds estimation via the adaptive Maximum Likelihood procedure proposed by David Green (1990, 1993). This adaptive procedure is particularly appealing for those psychologists that need to estimate thresholds with a good degree of accuracy and in a short time. Together with a description of the toolbox, the current text provides an introduction to the threshold estimation theory and a theoretical explanation of the maximum likelihood adaptive procedure. MLP comes with a graphical interface and it is provided with several built-in, classic psychoacoustics experiments ready to use at a mouse click.

Item Type: Article
Research Institute, Centre or Group - Does NOT include content added after October 2018: Psychology Research Group
Identification Number: https://doi.org/10.3758/BRM.41.1.20
Page Range: 20-28
Depositing User: Alessandro Soranzo
Date Deposited: 25 Sep 2012 09:39
Last Modified: 18 Mar 2021 13:53
URI: https://shura.shu.ac.uk/id/eprint/6129

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