---
_id: '11832'
abstract:
- lang: eng
text: In this paper we propose an approach to retrieve the absolute geometry of
an acoustic sensor network, consisting of spatially distributed microphone arrays,
from reverberant speech input. The calibration relies on direction of arrival
measurements of the individual arrays. The proposed calibration algorithm is derived
from a maximum-likelihood approach employing circular statistics. Since a sensor
node consists of a microphone array with known intra-array geometry, we are able
to obtain an absolute geometry estimate, including angles and distances. Simulation
results demonstrate the effectiveness of the approach.
author:
- first_name: Florian
full_name: Jacob, Florian
last_name: Jacob
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Jacob F, Schmalenstroeer J, Haeb-Umbach R. DoA-Based Microphone Array Position
Self-Calibration Using Circular Statistic. In: 38th International Conference
on Acoustics, Speech, and Signal Processing (ICASSP 2013). ; 2013:116-120.
doi:10.1109/ICASSP.2013.6637620'
apa: Jacob, F., Schmalenstroeer, J., & Haeb-Umbach, R. (2013). DoA-Based Microphone
Array Position Self-Calibration Using Circular Statistic. 38th International
Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 116–120.
https://doi.org/10.1109/ICASSP.2013.6637620
bibtex: '@inproceedings{Jacob_Schmalenstroeer_Haeb-Umbach_2013, title={DoA-Based
Microphone Array Position Self-Calibration Using Circular Statistic}, DOI={10.1109/ICASSP.2013.6637620},
booktitle={38th International Conference on Acoustics, Speech, and Signal Processing
(ICASSP 2013)}, author={Jacob, Florian and Schmalenstroeer, Joerg and Haeb-Umbach,
Reinhold}, year={2013}, pages={116–120} }'
chicago: Jacob, Florian, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “DoA-Based
Microphone Array Position Self-Calibration Using Circular Statistic.” In 38th
International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013),
116–20, 2013. https://doi.org/10.1109/ICASSP.2013.6637620.
ieee: 'F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “DoA-Based Microphone Array
Position Self-Calibration Using Circular Statistic,” in 38th International
Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013,
pp. 116–120, doi: 10.1109/ICASSP.2013.6637620.'
mla: Jacob, Florian, et al. “DoA-Based Microphone Array Position Self-Calibration
Using Circular Statistic.” 38th International Conference on Acoustics, Speech,
and Signal Processing (ICASSP 2013), 2013, pp. 116–20, doi:10.1109/ICASSP.2013.6637620.
short: 'F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: 38th International Conference
on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 116–120.'
date_created: 2019-07-12T05:29:07Z
date_updated: 2023-10-26T08:11:12Z
department:
- _id: '54'
doi: 10.1109/ICASSP.2013.6637620
keyword:
- Geometry calibration
- microphone arrays
- position self-calibration
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2013/JacSchHae_ICASSP2013_Rev2.pdf
oa: '1'
page: 116-120
publication: 38th International Conference on Acoustics, Speech, and Signal Processing
(ICASSP 2013)
publication_identifier:
issn:
- 1520-6149
quality_controlled: '1'
related_material:
link:
- description: Presentation
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2013/JaScHa13_Presentation.pdf
status: public
title: DoA-Based Microphone Array Position Self-Calibration Using Circular Statistic
type: conference
user_id: '460'
year: '2013'
...
---
_id: '11833'
abstract:
- lang: eng
text: In this paper we propose an approach to retrieve the geometry of an acoustic
sensor network consisting of spatially distributed microphone arrays from unconstrained
speech input. The calibration relies on Direction of Arrival (DoA) measurements
which do not require a clock synchronization among the sensor nodes. The calibration
problem is formulated as a cost function optimization task, which minimizes the
squared differences between measured and predicted observations and additionally
avoids the existence of minima that correspond to mirrored versions of the actual
sensor orientations. Further, outlier measurements caused by reverberation are
mitigated by a Random Sample Consensus (RANSAC) approach. The experimental results
show a mean positioning error of at most 25 cm even in highly reverberant environments.
author:
- first_name: Florian
full_name: Jacob, Florian
last_name: Jacob
- first_name: Joerg
full_name: Schmalenstroeer, Joerg
id: '460'
last_name: Schmalenstroeer
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
citation:
ama: 'Jacob F, Schmalenstroeer J, Haeb-Umbach R. Microphone Array Position Self-Calibration
from Reverberant Speech Input. In: International Workshop on Acoustic Signal
Enhancement (IWAENC 2012). ; 2012.'
apa: Jacob, F., Schmalenstroeer, J., & Haeb-Umbach, R. (2012). Microphone Array
Position Self-Calibration from Reverberant Speech Input. International Workshop
on Acoustic Signal Enhancement (IWAENC 2012).
bibtex: '@inproceedings{Jacob_Schmalenstroeer_Haeb-Umbach_2012, title={Microphone
Array Position Self-Calibration from Reverberant Speech Input}, booktitle={International
Workshop on Acoustic Signal Enhancement (IWAENC 2012)}, author={Jacob, Florian
and Schmalenstroeer, Joerg and Haeb-Umbach, Reinhold}, year={2012} }'
chicago: Jacob, Florian, Joerg Schmalenstroeer, and Reinhold Haeb-Umbach. “Microphone
Array Position Self-Calibration from Reverberant Speech Input.” In International
Workshop on Acoustic Signal Enhancement (IWAENC 2012), 2012.
ieee: F. Jacob, J. Schmalenstroeer, and R. Haeb-Umbach, “Microphone Array Position
Self-Calibration from Reverberant Speech Input,” 2012.
mla: Jacob, Florian, et al. “Microphone Array Position Self-Calibration from Reverberant
Speech Input.” International Workshop on Acoustic Signal Enhancement (IWAENC
2012), 2012.
short: 'F. Jacob, J. Schmalenstroeer, R. Haeb-Umbach, in: International Workshop
on Acoustic Signal Enhancement (IWAENC 2012), 2012.'
date_created: 2019-07-12T05:29:08Z
date_updated: 2023-10-26T08:10:52Z
department:
- _id: '54'
keyword:
- Unsupervised
- geometry calibration
- microphone arrays
- position self-calibration
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12.pdf
oa: '1'
publication: International Workshop on Acoustic Signal Enhancement (IWAENC 2012)
quality_controlled: '1'
related_material:
link:
- description: Video
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2012/Microphine_Array_Position_Self-Calibration_from_Reverberant_Speech_Input.mp4
- description: Poster
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12_Poster.pdf
- description: Demonstrator
relation: supplementary_material
url: https://groups.uni-paderborn.de/nt/pubs/2012/JaScHa12_Demonstrator.pdf
status: public
title: Microphone Array Position Self-Calibration from Reverberant Speech Input
type: conference
user_id: '460'
year: '2012'
...