In this article, 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 who need to estimate thresholds with a good degree of accuracy and in a short time. Together with a description of the toolbox, the present 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.

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

GRASSI, MASSIMO;
2009

Abstract

In this article, 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 who need to estimate thresholds with a good degree of accuracy and in a short time. Together with a description of the toolbox, the present 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.
2009
File in questo prodotto:
File Dimensione Formato  
GrassiSoranzo2009.pdf

Accesso riservato

Tipologia: Published (Publisher's Version of Record)
Licenza: Accesso privato - non pubblico
Dimensione 471.74 kB
Formato Adobe PDF
471.74 kB Adobe PDF Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2378179
Citazioni
  • ???jsp.display-item.citation.pmc??? 0
  • Scopus 112
  • ???jsp.display-item.citation.isi??? 101
  • OpenAlex 139
social impact