Adapting transfer functions to changes in atmospheric conditions for outdoor sound field control

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Abstract

The performance of active sound field control solutions is directly dependent on the accuracy of the measured acoustic transfer functions between the control loudspeakers and control areas. Outdoors, these transfer functions are affected by atmospheric conditions and their variation over time. In this work, we investigate strategies for transforming measured transfer functions to changing atmospheric conditions with the goal of adapting outdoor sound field control systems to such changes. Compared to active control methods based on adaptive filtering, such weather model based approaches do not rely on continuous sound pressure recordings inside the control area. We investigate different adaption strategies, one based on explicit delay compensation with effective speed of sound and an alternative based on machine learning. We train and test the adaption strategies against results of a large set of outdoor transfer function measurements in different atmospheric conditions.
Original languageEnglish
Title of host publicationProceedings of 23rd International Congress on Acoustics
PublisherDeutsche Gesellschaft für Akustik e.V.
Publication date2019
Pages1178-83
Publication statusPublished - 2019
Event23rd International Congress on Acoustics - Eurogress, Aachen , Germany
Duration: 9 Sep 201913 Sep 2019
http://www.ica2019.org/

Conference

Conference23rd International Congress on Acoustics
LocationEurogress
CountryGermany
CityAachen
Period09/09/201913/09/2019
Internet address

Keywords

  • Outdoor sound propagation
  • Sound Field Control
  • Machine learning

Cite this

Heuchel, F. M., Caviedes Nozal, D., Fernandez Grande, E., Brunskog, J., & Agerkvist, F. T. (2019). Adapting transfer functions to changes in atmospheric conditions for outdoor sound field control. In Proceedings of 23rd International Congress on Acoustics (pp. 1178-83). Deutsche Gesellschaft für Akustik e.V..
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abstract = "The performance of active sound field control solutions is directly dependent on the accuracy of the measured acoustic transfer functions between the control loudspeakers and control areas. Outdoors, these transfer functions are affected by atmospheric conditions and their variation over time. In this work, we investigate strategies for transforming measured transfer functions to changing atmospheric conditions with the goal of adapting outdoor sound field control systems to such changes. Compared to active control methods based on adaptive filtering, such weather model based approaches do not rely on continuous sound pressure recordings inside the control area. We investigate different adaption strategies, one based on explicit delay compensation with effective speed of sound and an alternative based on machine learning. We train and test the adaption strategies against results of a large set of outdoor transfer function measurements in different atmospheric conditions.",
keywords = "Outdoor sound propagation, Sound Field Control, Machine learning",
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Heuchel, FM, Caviedes Nozal, D, Fernandez Grande, E, Brunskog, J & Agerkvist, FT 2019, Adapting transfer functions to changes in atmospheric conditions for outdoor sound field control. in Proceedings of 23rd International Congress on Acoustics. Deutsche Gesellschaft für Akustik e.V., pp. 1178-83, 23rd International Congress on Acoustics , Aachen , Germany, 09/09/2019.

Adapting transfer functions to changes in atmospheric conditions for outdoor sound field control. / Heuchel, Franz Maria; Caviedes Nozal, Diego; Fernandez Grande, Efren; Brunskog, Jonas; Agerkvist, Finn T.

Proceedings of 23rd International Congress on Acoustics. Deutsche Gesellschaft für Akustik e.V., 2019. p. 1178-83.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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AU - Brunskog, Jonas

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N2 - The performance of active sound field control solutions is directly dependent on the accuracy of the measured acoustic transfer functions between the control loudspeakers and control areas. Outdoors, these transfer functions are affected by atmospheric conditions and their variation over time. In this work, we investigate strategies for transforming measured transfer functions to changing atmospheric conditions with the goal of adapting outdoor sound field control systems to such changes. Compared to active control methods based on adaptive filtering, such weather model based approaches do not rely on continuous sound pressure recordings inside the control area. We investigate different adaption strategies, one based on explicit delay compensation with effective speed of sound and an alternative based on machine learning. We train and test the adaption strategies against results of a large set of outdoor transfer function measurements in different atmospheric conditions.

AB - The performance of active sound field control solutions is directly dependent on the accuracy of the measured acoustic transfer functions between the control loudspeakers and control areas. Outdoors, these transfer functions are affected by atmospheric conditions and their variation over time. In this work, we investigate strategies for transforming measured transfer functions to changing atmospheric conditions with the goal of adapting outdoor sound field control systems to such changes. Compared to active control methods based on adaptive filtering, such weather model based approaches do not rely on continuous sound pressure recordings inside the control area. We investigate different adaption strategies, one based on explicit delay compensation with effective speed of sound and an alternative based on machine learning. We train and test the adaption strategies against results of a large set of outdoor transfer function measurements in different atmospheric conditions.

KW - Outdoor sound propagation

KW - Sound Field Control

KW - Machine learning

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Heuchel FM, Caviedes Nozal D, Fernandez Grande E, Brunskog J, Agerkvist FT. Adapting transfer functions to changes in atmospheric conditions for outdoor sound field control. In Proceedings of 23rd International Congress on Acoustics. Deutsche Gesellschaft für Akustik e.V. 2019. p. 1178-83