Critical-band intensity derivation yields triangular patterns for noise and rectangular ones for tones.

Evidence

Critical-band intensity can be seen as that part of the overall unweighted sound intensity that falls within a frequency window that has the width of a critical band. The transformation of frequency into critical-band rate transfers the frequency-dependent window width into a window width of 1 Bark, independent of critical-band rate. This window of I-Bark width can be continuously shifted along the critical-band scale. Consequently, a criticalband wide narrow-band noise produces a critical-band intensity which is a function of critical-band rate, and which shows the form of a triangle with a base width of 2 Bark. A sinusoidal tone, however, produces a function with a rectangular shape and the width of 1 Bark. — Professor Dr.-Ing. Hugo Fastl, Professor Dr.-Ing. Eberhard, Psychoacoustics- Facts and Models, 950

Categorization

Category: Factual Claims

• DEFINE: Explains how critical-band intensity relates to the underlying intensity distribution.

Related

• Constant 1-Bark windows yield triangular noise patterns and rectangular tone patterns (similarity 0.90)
• White noise’s critical-band intensity rises above 5 Bark because bandwidth grows there (similarity 0.84)
• Any sound narrower than a critical band produces identical loudness regardless of its width. (similarity 0.82)
• Narrow-band noise produces substantial loudness in critical-band regions where no physical sound exists (similarity 0.82)
• Two tones within a critical band interact to reduce total loudness (similarity 0.80)
• Critical-band noise masking can be approximated by simple tone complexes (similarity 0.80)
• Critical bandwidth rises above 500 Hz, matching the 5-Bark reference point. (similarity 0.80)
• Narrow-band noise sharpness grows proportionally with critical-band rate up to about 3 kHz (similarity 0.79)
• The critical-band-rate scale mirrors hearing better than raw frequency (similarity 0.79)
• Critical bandwidth marks the point where noise loudness begins to grow with bandwidth (similarity 0.79)
• Masked threshold of a tone by white noise is computable from critical-band level (similarity 0.79)
• The brain processes sounds inside a critical band as a single lumped item. (similarity 0.79)
• Noise bandwidth below the critical band does not raise masked threshold. (similarity 0.79)
• Threshold perception integrates total sound intensity across a limited frequency bandwidth. (similarity 0.78)
• Uniform exciting noise delivers equal intensity to every critical band (similarity 0.78)