The neural mechanism extracting perceived distance from room response remains unknown

Evidence

The hearing mechanisms which are used in distance perception are not known in general. For example, it is not known precisely how the perceived distance is extracted from the effect of the room response in the ear canal signals. A research topic for auditory modelling would thus be to form signal-driven auditory models that measure the cues for distance perception and then combine them to form the final perception of distance. — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 1533

Categorization

Category: Connection Points

• QUESTION: What specific monaural cues (spectral notches, direct-to-reverberant ratio) do current models test, and how would a signal-driven distance model improve hearing-aid and VR audio rendering?
• SEED: An essay angle: spatial audio tools (VR, hearing aids, concert mixing) will stay broken until auditory modeling cracks the distance-from-reverb problem, not just the direction-from-ITD problem.

Related

• Auditory models that extract distance cues from ear signals remain an open research direction (similarity 0.92)
• Room reverberation improves rather than impairs distance judgment (similarity 0.83)
• Room acoustics smear directional perception and mask recorded reverberation (similarity 0.80)
• Virtual sound source distance is limited by reproduction technology, not perception (similarity 0.80)
• Robust spatial hearing despite reverberation has driven decades of binaural modeling research. (similarity 0.80)
• Spectral elevation cues predict human sound-localization performance via machine learning (similarity 0.80)
• Digital audio growth made understanding human audition essential (similarity 0.80)
• Humans can perceptually separate a sound source from its room. (similarity 0.79)
• Human hearing adapts to different room acoustics to preserve timbre perception (similarity 0.79)
• Auditory models link acoustic stimulus features to perceived attributes computationally. (similarity 0.79)
• Computational models extract quantitative metrics for the ear’s perceptual dimensions (similarity 0.79)
• Relative loudness change provides the key auditory cue for source distance (similarity 0.79)
• Vision and sound expectations must concord for convincing audio-scene perception (similarity 0.78)
• The ear achieves spatial hearing through signal analysis rather than directional receptors (similarity 0.78)
• Listeners perceptually normalize voices across changing room acoustics via direct sound and visual cues (similarity 0.78)

Broader Connections

• Familiarity with a room enables partial perceptual normalization during listening #complicates (0.72)