Psychophysical models of masking for coding applications
نویسنده
چکیده
In this article we apply signal detection theory to qualitatively unify the intensity justnoticable difference (JND) and masking data of Wegel and Lane (1924), Fletcher and Munson (1933 – 1938), Miller (1947), and Egan and Hake (1950). We do this by treating the loudness as the first moment, and the intensity JND as the second moment, of the random variable we call the single-trial loudness. From these definitions we define a loudness signal-to-noise ratio (SNRL), which is the unifying factor. This theory relies heavily on Fletcher and Munson’s 1933 theory of loudness. The purpose of this article is to create a model of masking that may be used for speech and music coding applications.
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