Binaural models differ on whether the brain uses narrow or wide directional receptive fields

Evidence

Auditory-modelling-based objective quality measurement systems could potentially solve the problem of the impossible comparison of the reproduced spatial sound to the original conditions. Binaural models, which were introduced in Section 13.5, have been suggested for use in measuring the quality of spatial sound reproduction. Indeed, in limited cases, auditory models are applicable for evaluating spatial audio quality (Blauert, 2013b). Although a large number of binaural models have been proposed, the explanation of human perception of spatially complex scenarios still seems challenging. The research in this field is thus incomplete. The need for models for the analysis of spatial audio in industry exists, since an effort to extend the PEAQ standard to the measurement of quality over stereophonic and multi-channel audio formats has been initiated. Unfortunately, the current results in the process are not promising (Liebetrau et al., 2010), and the process is on hold as of now (2014). — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 2378 (#expands, via linked claim)

Categorization

• XREF: connects to: Binaural auditory models cannot yet explain human perception of complex spatial audio — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 2378; Basic binaural cues cannot fully explain front-back and elevation judgments

Related

• Binaural auditory models cannot yet explain human perception of complex spatial audio (similarity 0.93)
• Robust spatial hearing despite reverberation has driven decades of binaural modeling research. (similarity 0.85)
• Binaural recordings capture natural direction cues only when ears match the listener (similarity 0.83)
• Auditory models that extract distance cues from ear signals remain an open research direction (similarity 0.83)
• Basic binaural cues cannot fully explain front-back and elevation judgments (similarity 0.83)
• Binaural direction cues alone cannot distinguish front from back or vertical source angle (similarity 0.82)
• The ear achieves spatial hearing through signal analysis rather than directional receptors (similarity 0.82)
• Binaural microphones capture exact tympanum signals but depend on one’s own head shape (similarity 0.81)
• Ear separation on one axis makes horizontal binaural cues strongest (similarity 0.81)
• Binaural audio reproduces ear canal signals from real or virtual scenarios. (similarity 0.80)
• Binaural hearing aid processing preserves spatial cues that monaural processing distorts (similarity 0.80)
• Source distribution perception is hard because ear-canal signals sum before analysis (similarity 0.80)
• Binaural hearing enables sound-source direction perception that one ear cannot produce (similarity 0.80)
• Horizontal localization uses binaural cues while vertical localization does not (similarity 0.79)
• Higher-level hearing models rely on assumptions tested only against psychoacoustic data (similarity 0.79)

Broader Connections

• Binaural auditory models cannot yet explain human perception of complex spatial audio #expands (0.72) — Ville Pulkki, Matti Karjalainen, Communication Acoustics- An…, 2378
• Basic binaural cues cannot fully explain front-back and elevation judgments #expands (0.72)