Details
| Original language | English |
|---|---|
| Publication status | Published - 2023 |
Abstract
Keywords
- Auditory perception modeling, Feature selection, Multichannel loudspeaker reproduction, Sound field analysis, Spatial audio
ASJC Scopus subject areas
- Health Professions(all)
- Speech and Hearing
- Engineering(all)
- Electrical and Electronic Engineering
- Computer Science(all)
- Computer Science Applications
- Physics and Astronomy(all)
- Acoustics and Ultrasonics
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
2023.
Research output: Contribution to conference › Paper › Research › peer review
}
TY - CONF
T1 - Towards predicting immersion in surround sound music reproduction from sound field features
AU - Kiyan, Roman
AU - Bergner, Lutz Jakob
AU - Preihs, Stephan
AU - Wycisk, Yves
AU - Schössow, Daphne Linda Sophia
AU - Sander, Kilian
AU - Peissig, Jürgen Karl
AU - Kopiez, Reinhard
N1 - Acknowledgments: The authors are thankful for the research grant of the project Richard Wagner 3.0 funded by “Niedersachsisches Vorab”, a joint program by the Volkswagen Foundation in conjunction with the Lower Saxony Ministry for Science and Culture (ZN3497).
PY - 2023
Y1 - 2023
N2 - In evaluation of surround sound loudspeaker reproduction, perceptual effects are commonly analyzed as functions of different loudspeaker configurations. In this paper, a modeling approach based on acoustic properties of various reproduction formats is presented. A model of immersion in music listening is derived from the results of an experimental study analyzing the psychological concept of immersive experience in music. The proposed approach is evaluated in both descriptive and predictive capacities with respect to the relationship between immersion ratings and sound field features obtained from re-recordings of the stimuli using a spherical microphone array. Spatial sound field parameters such as inter-aural cross-correlation (IACC), diffuseness and directivity are found to be of particular relevance. Immersion is observed to reach a point of saturation with the number of loudspeakers, which is confirmed to be predictable from the physical properties of the sound field. Although subjective and content effects on immersion outweigh the impact of sound field features, the proposed approach is found to be suitable for predicting population-average ratings, i. e. immersion experienced by an average listener for new content. The proposed method could complement existing research on multichannel loudspeaker reproduction by establishing a more generalizable framework not dependent on particular speaker setups.
AB - In evaluation of surround sound loudspeaker reproduction, perceptual effects are commonly analyzed as functions of different loudspeaker configurations. In this paper, a modeling approach based on acoustic properties of various reproduction formats is presented. A model of immersion in music listening is derived from the results of an experimental study analyzing the psychological concept of immersive experience in music. The proposed approach is evaluated in both descriptive and predictive capacities with respect to the relationship between immersion ratings and sound field features obtained from re-recordings of the stimuli using a spherical microphone array. Spatial sound field parameters such as inter-aural cross-correlation (IACC), diffuseness and directivity are found to be of particular relevance. Immersion is observed to reach a point of saturation with the number of loudspeakers, which is confirmed to be predictable from the physical properties of the sound field. Although subjective and content effects on immersion outweigh the impact of sound field features, the proposed approach is found to be suitable for predicting population-average ratings, i. e. immersion experienced by an average listener for new content. The proposed method could complement existing research on multichannel loudspeaker reproduction by establishing a more generalizable framework not dependent on particular speaker setups.
KW - Auditory perception modeling
KW - Feature selection
KW - Multichannel loudspeaker reproduction
KW - Sound field analysis
KW - Spatial audio
UR - http://www.scopus.com/inward/record.url?scp=85174162500&partnerID=8YFLogxK
U2 - 10.1051/aacus/2023040
DO - 10.1051/aacus/2023040
M3 - Paper
ER -