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Human categorization of sound seems predominantly based on sound sourceproperties. To estimate these source properties we propose a novel soundanalysis method, which separates sound into different sonic textures: tones,pulses, and broadband noises. The audible presence of tones or pulsescorresponds to more extended cochleagram patterns than can be expected on thebasis of correlations introduced by the gammachirp filterbank alone. We designtract features to respond to these extended patterns, and use these to identifyareas of the time-frequency plane as tonal, pulsal, and noisy. Where an area ismarked as noisy if it is neither tonal nor pulsal. To investigate whether asimilar separation indeed underlies human perceptual organization we introducetract based descriptors: tonality, pulsality, and noisiness. These descriptorskeep track of either the total energy or the cochleagram area marked asrespectively tonal, pulsal, and noisy. Energy based tonality and pulsality isstrongly correlated with the first perceptual dimension of human subjects,while energy based noisiness correlates moderately with the second perceptualdimension. We conclude that harmonic, impact and continuous process sounds canbe largely separated with energy based tonality, pulsality and noisiness.

Texture features for the reproduction of the perceptual organization of sound