Cues for vertical localization in the upper median plane: Integrating directional band theory and parametric notch-peak model

A number of studies have examined cues for the perception of the vertical angle of a sound image. Sound localization tests using narrow-band signals revealed that there exist directional bands that were perceived in specific directions (front, above, and rear), regardless of the direction of the actual sound source. On the other hand, sound localization tests using wideband signals revealed that spectral notches and peaks above 5 kHz in the head-related transfer function (HRTF) contribute to vertical angle perception. Based on this finding, a parametric notch-peak (PNP) HRTF model, which is reconstructed using the minimum number of notches and peaks required for vertical angle perception, has been proposed. Thus, the directional band theory, which claims that the presence of specific frequency components is important, and the PNP model, which suggests the importance of the absence of specific frequency components (notches), appear to be contradictory. In the present study, we first focus on the front, above, and rear directions and attempt to integrate the PNP model and the directional band theory. Then, expanding the scope to the entire upper median plane, a hypothesis regarding the cues for vertical angle perception and the extended PNP model is proposed.

Authors

Institutions

Publication Details

Journal
The Journal of the Acoustical Society of America
Published
2025-12-01
DOI
https://doi.org/10.1121/10.0041787
Citations
1
Primary Topic
Hearing Loss and Rehabilitation
Type
article
Field-Weighted Citation Impact
1.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cues for vertical localization in the upper median plane: Integrating directional band theory and parametric notch-peak model

Fábio Yuzo Nakamura, Kazuhiro Iida
1 citations
The Journal of the Acoustical Society of America
Hearing Loss and Rehabilitation
1.43
article

Cues for vertical localization in the upper median plane: Integrating directional band theory and parametric notch-peak model

Fábio Yuzo Nakamura, Kazuhiro Iida
article en
1 citations

Abstract

A number of studies have examined cues for the perception of the vertical angle of a sound image. Sound localization tests using narrow-band signals revealed that there exist directional bands that were perceived in specific directions (front, above, and rear), regardless of the direction of the actual sound source. On the other hand, sound localization tests using wideband signals revealed that spectral notches and peaks above 5 kHz in the head-related transfer function (HRTF) contribute to vertical angle perception. Based on this finding, a parametric notch-peak (PNP) HRTF model, which is reconstructed using the minimum number of notches and peaks required for vertical angle perception, has been proposed. Thus, the directional band theory, which claims that the presence of specific frequency components is important, and the PNP model, which suggests the importance of the absence of specific frequency components (notches), appear to be contradictory. In the present study, we first focus on the front, above, and rear directions and attempt to integrate the PNP model and the directional band theory. Then, expanding the scope to the entire upper median plane, a hypothesis regarding the cues for vertical angle perception and the extended PNP model is proposed.

The Journal of the Acoustical Society of AmericaVol. 158(6)
Chiba Institute of Technology (JP)
Openalex Percentile: Top 13%
Hearing Loss and Rehabilitation
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.