Room acoustic analysis and BRIR matching based on room acoustic measurements

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Lukas Treybig
  • Shivam Saini
  • Stephan Werner
  • Ulrike Sloma
  • Jürgen Peissig

Organisationseinheiten

Externe Organisationen

  • Technische Universität Ilmenau
  • Huawei Technologies Deutschland GmbH
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksAES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022
Herausgeber (Verlag)Audio Engineering Society
Seiten48-57
Seitenumfang10
ISBN (elektronisch)9781713859727
PublikationsstatusVeröffentlicht - 15 Aug. 2022
Veranstaltung2022 AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022 - Redmond, USA / Vereinigte Staaten
Dauer: 15 Aug. 202217 Aug. 2022

Publikationsreihe

NameProceedings of the AES International Conference
Band2022-August

Abstract

To achieve the goal of a perceptual fusion between the auralization of virtual audio objects in the room acoustics of a real listening room, an adequate adaptation of the virtual acoustics to the real room acoustics is necessary. The challenges are to describe the acoustics of different rooms by suitable parameters, to classify different rooms, and to evoke a similar auditory perception between acoustically similar rooms. An approach is presented to classify rooms based on measured BRIRs using statistical methods and to select best match BRIRs from the dataset to auralize audio objects in a new room. The results show that it is possible to separate rooms based on their room acoustic properties, that the separation also corresponds to a large extent to the perceptual distance between rooms, and that a selection of best match BRIRs is possible.

ASJC Scopus Sachgebiete

Zitieren

Room acoustic analysis and BRIR matching based on room acoustic measurements. / Treybig, Lukas; Saini, Shivam; Werner, Stephan et al.
AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022. Audio Engineering Society, 2022. S. 48-57 (Proceedings of the AES International Conference; Band 2022-August).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Treybig, L, Saini, S, Werner, S, Sloma, U & Peissig, J 2022, Room acoustic analysis and BRIR matching based on room acoustic measurements. in AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022. Proceedings of the AES International Conference, Bd. 2022-August, Audio Engineering Society, S. 48-57, 2022 AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022, Redmond, USA / Vereinigte Staaten, 15 Aug. 2022. <https://www.aes.org/e-lib/browse.cfm?elib=21836>
Treybig, L., Saini, S., Werner, S., Sloma, U., & Peissig, J. (2022). Room acoustic analysis and BRIR matching based on room acoustic measurements. In AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022 (S. 48-57). (Proceedings of the AES International Conference; Band 2022-August). Audio Engineering Society. https://www.aes.org/e-lib/browse.cfm?elib=21836
Treybig L, Saini S, Werner S, Sloma U, Peissig J. Room acoustic analysis and BRIR matching based on room acoustic measurements. in AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022. Audio Engineering Society. 2022. S. 48-57. (Proceedings of the AES International Conference).
Treybig, Lukas ; Saini, Shivam ; Werner, Stephan et al. / Room acoustic analysis and BRIR matching based on room acoustic measurements. AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022. Audio Engineering Society, 2022. S. 48-57 (Proceedings of the AES International Conference).
Download
@inproceedings{23c522ae08834698811d93fb67fcf693,
title = "Room acoustic analysis and BRIR matching based on room acoustic measurements",
abstract = "To achieve the goal of a perceptual fusion between the auralization of virtual audio objects in the room acoustics of a real listening room, an adequate adaptation of the virtual acoustics to the real room acoustics is necessary. The challenges are to describe the acoustics of different rooms by suitable parameters, to classify different rooms, and to evoke a similar auditory perception between acoustically similar rooms. An approach is presented to classify rooms based on measured BRIRs using statistical methods and to select best match BRIRs from the dataset to auralize audio objects in a new room. The results show that it is possible to separate rooms based on their room acoustic properties, that the separation also corresponds to a large extent to the perceptual distance between rooms, and that a selection of best match BRIRs is possible.",
author = "Lukas Treybig and Shivam Saini and Stephan Werner and Ulrike Sloma and J{\"u}rgen Peissig",
year = "2022",
month = aug,
day = "15",
language = "English",
series = "Proceedings of the AES International Conference",
publisher = "Audio Engineering Society",
pages = "48--57",
booktitle = "AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022",
address = "United States",
note = "2022 AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022 ; Conference date: 15-08-2022 Through 17-08-2022",

}

Download

TY - GEN

T1 - Room acoustic analysis and BRIR matching based on room acoustic measurements

AU - Treybig, Lukas

AU - Saini, Shivam

AU - Werner, Stephan

AU - Sloma, Ulrike

AU - Peissig, Jürgen

PY - 2022/8/15

Y1 - 2022/8/15

N2 - To achieve the goal of a perceptual fusion between the auralization of virtual audio objects in the room acoustics of a real listening room, an adequate adaptation of the virtual acoustics to the real room acoustics is necessary. The challenges are to describe the acoustics of different rooms by suitable parameters, to classify different rooms, and to evoke a similar auditory perception between acoustically similar rooms. An approach is presented to classify rooms based on measured BRIRs using statistical methods and to select best match BRIRs from the dataset to auralize audio objects in a new room. The results show that it is possible to separate rooms based on their room acoustic properties, that the separation also corresponds to a large extent to the perceptual distance between rooms, and that a selection of best match BRIRs is possible.

AB - To achieve the goal of a perceptual fusion between the auralization of virtual audio objects in the room acoustics of a real listening room, an adequate adaptation of the virtual acoustics to the real room acoustics is necessary. The challenges are to describe the acoustics of different rooms by suitable parameters, to classify different rooms, and to evoke a similar auditory perception between acoustically similar rooms. An approach is presented to classify rooms based on measured BRIRs using statistical methods and to select best match BRIRs from the dataset to auralize audio objects in a new room. The results show that it is possible to separate rooms based on their room acoustic properties, that the separation also corresponds to a large extent to the perceptual distance between rooms, and that a selection of best match BRIRs is possible.

UR - http://www.scopus.com/inward/record.url?scp=85141696891&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85141696891

T3 - Proceedings of the AES International Conference

SP - 48

EP - 57

BT - AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022

PB - Audio Engineering Society

T2 - 2022 AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2022

Y2 - 15 August 2022 through 17 August 2022

ER -