| |
Records |
Links |
|
Author |
McLachlan, G.; Majdak, P.; Reijniers, J.; Mihocic, M.; Peremans, H. |
|
| |
Title |
Dynamic spectral cues do not affect human sound localization during small head movements |
Type |
A1 Journal article |
| |
Year  |
2023 |
Publication |
Frontiers in neuroscience |
Abbreviated Journal |
|
|
| |
Volume |
17 |
Issue |
|
Pages |
1027827-10 |
|
| |
Keywords |
A1 Journal article; Psychology; Condensed Matter Theory (CMT); Engineering Management (ENM) |
|
| |
Abstract |
Natural listening involves a constant deployment of small head movement. Spatial listening is facilitated by head movements, especially when resolving front-back confusions, an otherwise common issue during sound localization under head-still conditions. The present study investigated which acoustic cues are utilized by human listeners to localize sounds using small head movements (below ±10° around the center). Seven normal-hearing subjects participated in a sound localization experiment in a virtual reality environment. Four acoustic cue stimulus conditions were presented (full spectrum, flattened spectrum, frozen spectrum, free-field) under three movement conditions (no movement, head rotations over the yaw axis and over the pitch axis). Localization performance was assessed using three metrics: lateral and polar precision error and front-back confusion rate. Analysis through mixed-effects models showed that even small yaw rotations provide a remarkable decrease in front-back confusion rate, whereas pitch rotations did not show much of an effect. Furthermore, MSS cues improved localization performance even in the presence of dITD cues. However, performance was similar between stimuli with and without dMSS cues. This indicates that human listeners utilize the MSS cues before the head moves, but do not rely on dMSS cues to localize sounds when utilizing small head movements. |
|
| |
Address |
|
|
| |
Corporate Author |
|
Thesis |
|
|
| |
Publisher |
|
Place of Publication |
|
Editor |
|
|
| |
Language |
|
Wos |
000938567400001 |
Publication Date |
2023-02-03 |
|
| |
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
1662-4548; 1662-453x |
ISBN |
|
Additional Links |
UA library record; WoS full record; WoS citing articles |
|
| |
Impact Factor |
|
Times cited |
|
Open Access |
|
|
| |
Notes |
|
Approved |
no |
|
| |
Call Number |
UA @ admin @ c:irua:194507 |
Serial |
9025 |
|
| Permanent link to this record |
| |
|
| |
|
Author |
McLachlan, G.; Majdak, P.; Reijniers, J.; Peremans, H. |
|
| |
Title |
Towards modelling active sound localisation based on Bayesian inference in a static environment |
Type |
A1 Journal article |
| |
Year |
2021 |
Publication |
Acta Acustica |
Abbreviated Journal |
|
|
| |
Volume |
5 |
Issue |
|
Pages |
45 |
|
| |
Keywords |
A1 Journal article; Engineering Management (ENM); Condensed Matter Theory (CMT) |
|
| |
Abstract |
Over the decades, Bayesian statistical inference has become a staple technique for modelling human multisensory perception. Many studies have successfully shown how sensory and prior information can be combined to optimally interpret our environment. Because of the multiple sound localisation cues available in the binaural signal, sound localisation models based on Bayesian inference are a promising way of explaining behavioural human data. An interesting aspect is the consideration of dynamic localisation cues obtained through self-motion. Here we provide a review of the recent developments in modelling dynamic sound localisation with a particular focus on Bayesian inference. Further, we describe a theoretical Bayesian framework capable to model dynamic and active listening situations in humans in a static auditory environment. In order to demonstrate its potential in future implementations, we provide results from two examples of simplified versions of that framework. |
|
| |
Address |
|
|
| |
Corporate Author |
|
Thesis |
|
|
| |
Publisher |
|
Place of Publication |
|
Editor |
|
|
| |
Language |
|
Wos |
000709050000001 |
Publication Date |
2021-10-21 |
|
| |
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
|
ISBN |
|
Additional Links |
UA library record; WoS full record; WoS citing articles |
|
| |
Impact Factor |
|
Times cited |
|
Open Access |
OpenAccess |
|
| |
Notes |
|
Approved |
Most recent IF: NA |
|
| |
Call Number |
UA @ admin @ c:irua:182453 |
Serial |
7035 |
|
| Permanent link to this record |
