Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | IEEE 22nd International Workshop on Multimedia Signal Processing |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (elektronisch) | 9781728193205 |
| ISBN (Print) | 9781728193236 |
| Publikationsstatus | Veröffentlicht - 2020 |
| Veranstaltung | 22nd IEEE International Workshop on Multimedia Signal Processing, MMSP 2020 - Virtual, Tampere, Finnland Dauer: 21 Sept. 2020 → 24 Sept. 2020 |
Publikationsreihe
| Name | IEEE Workshop on Multimedia Signal Processing |
|---|---|
| ISSN (Print) | 2163-3517 |
| ISSN (elektronisch) | 2473-3628 |
Abstract
Knowledge of room acoustic parameters such as frequency- and direction-dependent reflection coefficients, room volume, or geometric characteristics is important for the mod-eling of acoustic environments, e. g. to improve the plausibility of immersive audio in mixed reality applications or to transfer a physical acoustic environment into a completely virtual one. This paper presents a method for detecting first-order reflections in three-dimensions of spatial room impulse responses recorded with a spherical microphone array. By using geometric relations, the estimated direction of arrival (DOA), and the time difference of arrival (TDOA), the order of the respective mirror sound source is determined and categorized to the individual walls of the room. The detected DOA and TDOA of the first-order mirror sound sources are used to estimate the frequency-dependent reflection coefficients of the respective walls using a null-steering beamformer directed to the estimated DOA. Analysis in terms of DOA and TDOA indicates an accurate estimation for simulated and measured data. The estimation of the reflection coefficients shows a relative error of 3.5 % between 500 Hz and 4 kHz for simulated data. Furthermore, experimental challenges are discussed, such as the evaluation of the reflection coefficient estimation in real acoustic environments.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Signalverarbeitung
- Ingenieurwesen (insg.)
- Medientechnik
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- BibTex
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IEEE 22nd International Workshop on Multimedia Signal Processing. Institute of Electrical and Electronics Engineers Inc., 2020. 9287099 (IEEE Workshop on Multimedia Signal Processing).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Localization and Categorization of Early Reflections for Estimating Acoustic Reflection Coefficients
AU - Hupke, Robert
AU - Lauster, Sebastian
AU - Poschadel, Nils
AU - Nophut, Marcel
AU - Preihs, Stephan
AU - Peissig, Jurgen
PY - 2020
Y1 - 2020
N2 - Knowledge of room acoustic parameters such as frequency- and direction-dependent reflection coefficients, room volume, or geometric characteristics is important for the mod-eling of acoustic environments, e. g. to improve the plausibility of immersive audio in mixed reality applications or to transfer a physical acoustic environment into a completely virtual one. This paper presents a method for detecting first-order reflections in three-dimensions of spatial room impulse responses recorded with a spherical microphone array. By using geometric relations, the estimated direction of arrival (DOA), and the time difference of arrival (TDOA), the order of the respective mirror sound source is determined and categorized to the individual walls of the room. The detected DOA and TDOA of the first-order mirror sound sources are used to estimate the frequency-dependent reflection coefficients of the respective walls using a null-steering beamformer directed to the estimated DOA. Analysis in terms of DOA and TDOA indicates an accurate estimation for simulated and measured data. The estimation of the reflection coefficients shows a relative error of 3.5 % between 500 Hz and 4 kHz for simulated data. Furthermore, experimental challenges are discussed, such as the evaluation of the reflection coefficient estimation in real acoustic environments.
AB - Knowledge of room acoustic parameters such as frequency- and direction-dependent reflection coefficients, room volume, or geometric characteristics is important for the mod-eling of acoustic environments, e. g. to improve the plausibility of immersive audio in mixed reality applications or to transfer a physical acoustic environment into a completely virtual one. This paper presents a method for detecting first-order reflections in three-dimensions of spatial room impulse responses recorded with a spherical microphone array. By using geometric relations, the estimated direction of arrival (DOA), and the time difference of arrival (TDOA), the order of the respective mirror sound source is determined and categorized to the individual walls of the room. The detected DOA and TDOA of the first-order mirror sound sources are used to estimate the frequency-dependent reflection coefficients of the respective walls using a null-steering beamformer directed to the estimated DOA. Analysis in terms of DOA and TDOA indicates an accurate estimation for simulated and measured data. The estimation of the reflection coefficients shows a relative error of 3.5 % between 500 Hz and 4 kHz for simulated data. Furthermore, experimental challenges are discussed, such as the evaluation of the reflection coefficient estimation in real acoustic environments.
KW - beamforming
KW - image sources
KW - reflection coefficient
KW - Room acoustics
KW - spherical microphone array
UR - http://www.scopus.com/inward/record.url?scp=85099262112&partnerID=8YFLogxK
U2 - 10.1109/MMSP48831.2020.9287099
DO - 10.1109/MMSP48831.2020.9287099
M3 - Conference contribution
AN - SCOPUS:85099262112
SN - 9781728193236
T3 - IEEE Workshop on Multimedia Signal Processing
BT - IEEE 22nd International Workshop on Multimedia Signal Processing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd IEEE International Workshop on Multimedia Signal Processing, MMSP 2020
Y2 - 21 September 2020 through 24 September 2020
ER -