Detecting changes in auditory textures depends mainly on integration time available

Related

• Listeners detect statistical changes in ongoing sound based on time available for evidence integration (similarity 0.85)
• The audiogram only measures sound detection, omitting everything else about auditory perception. (similarity 0.85)
• The auditory spectrum differs from the physical power spectrum in resolution and shape (similarity 0.85)
• Auditory sensitivity varies nonuniformly across the frequency range (similarity 0.84)
• Time available for integrating evidence is the main predictor of change detection success (similarity 0.84)
• The auditory cortex decodes speech from acoustically jumbled waveforms. (similarity 0.83)
• Temporal integration may sample informative snapshots rather than integrating all energy (similarity 0.83)
• Measurable and audible sound qualities can be shown to correlate reliably (similarity 0.83)
• Inserting a temporal gap can change a sound’s spectrum, confounding gap measures (similarity 0.83)
• Detecting statistical changes in sound improves with listening time and change size (similarity 0.83)
• Auditory textures are stimuli whose only predictability lies in their statistical structure (similarity 0.83)
• Change detection in stochastic textures depends on statistical prediction rather than spectrotemporal predictability (similarity 0.83)
• A 1 dB detection gain can shift speech identification by 15 to 20 points (similarity 0.83)
• Sound textures are predictable only through their statistical spectrotemporal structure. (similarity 0.82)
• Auditory textures are recognized through their spectrotemporal statistics despite highly variable local structure (similarity 0.82)