Literature DB >> 2006225

Reduction of unique noise in the psychophysics of hearing by Group Operating Characteristic analysis.

A Taylor1, R Boven, J Whitmore.   

Abstract

Group Operating Characteristic (GOC) analysis can be used to reduce the effects of unique noise on data from psychophysical experiments on hearing. Unique noise can come from physiological sources such as heartbeat and breathing and from other internal sources such as criterion variability, inattention, and faulty memory. The theory of GOC analysis is described and applied to the results of frequency discrimination experiments with human, pigeon, and simulated observers. The method yields relatively unattenuated measures of sensitivity, recovers Receiver Operating Characteristic curves from noisy choice data, and estimates the relative magnitudes of unique and common noise.

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Year:  1991        PMID: 2006225     DOI: 10.1037/0033-2909.109.1.133

Source DB:  PubMed          Journal:  Psychol Bull        ISSN: 0033-2909            Impact factor:   17.737


  2 in total

1.  Type 2 tasks in the theory of signal detectability: discrimination between correct and incorrect decisions.

Authors:  Susan J Galvin; John V Podd; Vit Drga; John Whitmore
Journal:  Psychon Bull Rev       Date:  2003-12

2.  Amplitude discrimination of sinusoids and narrow-band noise with Rayleigh properties.

Authors:  M J Hautus; R J Irwin
Journal:  Percept Psychophys       Date:  1992-07
  2 in total

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