Auditory textures are stimuli whose only predictability lies in their statistical structure

Evidence

We used a simplified sound texture model, which retained the property of being predictable only from the statistical properties of its complex spectrotemporal structure (Fig. 1a ). The texture was a tone cloud consisting of a sequence of 30-ms, temporally overlapping pure tones whose frequency covered a range of 2.2 octaves (400–1840 Hz) divided in 8 frequency bins. — Dijk, Pim van, Physiology, Psychoacoustics and…, 3291

Categorization

Category: Definitional Content

• DEFINE: Defines ‘sound texture’ as a stimulus class predictable only from spectrotemporal statistics, distinguishing it from other auditory stimuli.

Related

• Sound textures are predictable only through their statistical spectrotemporal structure. (similarity 0.95)
• Auditory textures are recognized through their spectrotemporal statistics despite highly variable local structure (similarity 0.91)
• Acoustic textures can be modeled as tone clouds predictable only through their statistical properties (similarity 0.91)
• Natural sounds are identified by their statistical properties, not by predictable patterns of elements (similarity 0.90)
• Change detection in stochastic textures depends on statistical prediction rather than spectrotemporal predictability (similarity 0.88)
• A minimal tone cloud can isolate statistical predictability as the sole cue (similarity 0.88)
• Change detection in statistical sounds relies on predicting statistics rather than exact occurrences (similarity 0.86)
• Natural sound identity is defined by its statistical probabilities, not exact patterning (similarity 0.85)
• Listeners can detect changes in the probability statistics of continuous acoustic textures (similarity 0.85)
• Statistical change detection requires predicting stimulus statistics rather than sequence events (similarity 0.83)
• Humans integrate stimulus statistics to detect statistical changes in complex sounds (similarity 0.83)
• Dynamic statistical texture perception differs from static spectral profile analysis (similarity 0.83)
• Detecting changes in auditory textures depends mainly on integration time available (similarity 0.83)
• Natural sounds like wind and rain are recognized through their statistical patterns (similarity 0.82)
• Statistical sound textures can be built from 30-ms overlapping pure tones across 2.2 octaves. (similarity 0.81)

Broader Connections

• Auditory texture change detection may paradoxically improve when attention is withdrawn #expands (0.85)
• Even nonperiodic noise sounds convey a weak pitch sensation based on spectral energy distribution #complicates (0.75) — David M. Howard, Jamie Angus, Acoustics and Psychoacoustics, 885