Masked threshold of a tone by white noise is computable from critical-band level

Evidence

In order to characterize the rule for a small number of tones, i.e. smaller frequency separation L1j, the data are plotted in Fig. 6.2b in a different form. The abscissa is the same, but the ordinate is now the overall sound pressure level of the complex of tones. It therefore becomes clear that the overall sound pressure level remains constant at threshold in quiet (or at masked threshold) for bandwidths smaller than the critical band. The overall sound pressure increases for bandwidths above the critical bandwidth, indicating that the components outside the critical band do not contribute either to the threshold in quiet or to the masked threshold. The sound intensity falling into one critical band is responsible for threshold in quiet as well as for masking. — Professor Dr.-Ing. Hugo Fastl, Professor Dr.-Ing. Eberhard, Psychoacoustics- Facts and Models, 888 (#corroborates, via linked claim)

Categorization

• XREF: connects to: Noise fluctuations within narrow critical bands raise the masking index; Threshold in quiet depends on total sound intensity within one critical band only — Professor Dr.-Ing. Hugo Fastl, Professor Dr.-Ing. Eberhard, Psychoacoustics- Facts and Models, 888; Fletcher defined critical bands as noise regions whose power equals a just-masked tone’s — Professor Dr.-Ing. Hugo Fastl, Professor Dr.-Ing. Eberhard, Psychoacoustics- Facts and Models, 865 (+5 more)

Related

• Threshold in quiet depends on total sound intensity within one critical band only (similarity 0.94)
• Masked threshold rises once noise bandwidth exceeds the critical bandwidth (similarity 0.90)
• Masking by bandlimited noise depends only on masker energy within the critical band. (similarity 0.88)
• Noise bandwidth below the critical band does not raise masked threshold. (similarity 0.88)
• Noise fluctuations within narrow critical bands raise the masking index (similarity 0.87)
• Fletcher defined critical bands as noise regions whose power equals a just-masked tone’s (similarity 0.87)
• Near threshold, masked threshold depends on both masker level and threshold-in-quiet via internal noise (similarity 0.87)
• Two-tone maskers define critical bandwidth at the threshold’s transition point. (similarity 0.87)
• White noise masked thresholds rise 10 dB per decade above 1 kHz (similarity 0.86)
• The critical-band-rate scale mirrors hearing better than raw frequency (similarity 0.86)
• Tone-on-tone masking thresholds are measured via narrow-band noise maskers instead (similarity 0.86)
• Masked threshold always exceeds quiet threshold except when masker and test frequencies differ greatly (similarity 0.86)
• White noise masking of tones is linear but frequency-dependent above 500 Hz (similarity 0.86)
• Masking acts within critical bandwidths, leaving distant-frequency sounds unaffected (similarity 0.86)
• Clinical masking directly applies Fletcher’s critical band theory (similarity 0.86)

Broader Connections

• Threshold in quiet depends on total sound intensity within one critical band only #corroborates (0.78) — Professor Dr.-Ing. Hugo Fastl, Professor Dr.-Ing. Eberhard, Psychoacoustics- Facts and Models, 888
• Noise fluctuations within narrow critical bands raise the masking index #expands (0.72)