The auditory spectrum differs from the physical power spectrum in resolution and shape

Related

• Auditory sensitivity varies nonuniformly across the frequency range (similarity 0.87)
• Sound power level can be derived by dividing intensity by radiating area (similarity 0.87)
• The audiogram only measures sound detection, omitting everything else about auditory perception. (similarity 0.86)
• This book organizes hearing science around resonance, impulse response, autocorrelation, and power spectra (similarity 0.86)
• The auditory cortex decodes speech from acoustically jumbled waveforms. (similarity 0.86)
• Detecting changes in auditory textures depends mainly on integration time available (similarity 0.85)
• Hearing thresholds vary individually but share a common perceptual order (similarity 0.84)
• The audiogram normalizes hearing data so deviations from typical are visually obvious (similarity 0.84)
• Measurable and audible sound qualities can be shown to correlate reliably (similarity 0.84)
• High ambient noise forces listeners to raise volume toward hearing-loss levels (similarity 0.83)
• Speaker power output changes with room dimensions only via their ratios (similarity 0.83)
• Inserting a temporal gap can change a sound’s spectrum, confounding gap measures (similarity 0.83)
• Sound’s constant speed across wavelengths is what preserves speech intelligibility (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)