---
_id: '11886'
abstract:
- lang: eng
text: Today, we are often surrounded by devices with one or more microphones, such
as smartphones, laptops, and wireless microphones. If they are part of an acoustic
sensor network, their distribution in the environment can be beneficially exploited
for various speech processing tasks. However, applications like speaker localization,
speaker tracking, and speech enhancement by beamforming avail themselves of the
geometrical configuration of the sensors. Therefore, acoustic microphone geometry
calibration has recently become a very active field of research. This article
provides an application-oriented, comprehensive survey of existing methods for
microphone position self-calibration, which will be categorized by the measurements
they use and the scenarios they can calibrate. Selected methods will be evaluated
comparatively with real-world recordings.
author:
- first_name: Axel
full_name: Plinge, Axel
last_name: Plinge
- first_name: Florian
full_name: Jacob, Florian
last_name: Jacob
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Gernot A.
full_name: Fink, Gernot A.
last_name: Fink
citation:
ama: 'Plinge A, Jacob F, Haeb-Umbach R, Fink GA. Acoustic Microphone Geometry Calibration:
An overview and experimental evaluation of state-of-the-art algorithms. IEEE
Signal Processing Magazine. 2016;33(4):14-29. doi:10.1109/MSP.2016.2555198'
apa: 'Plinge, A., Jacob, F., Haeb-Umbach, R., & Fink, G. A. (2016). Acoustic
Microphone Geometry Calibration: An overview and experimental evaluation of state-of-the-art
algorithms. IEEE Signal Processing Magazine, 33(4), 14–29. https://doi.org/10.1109/MSP.2016.2555198'
bibtex: '@article{Plinge_Jacob_Haeb-Umbach_Fink_2016, title={Acoustic Microphone
Geometry Calibration: An overview and experimental evaluation of state-of-the-art
algorithms}, volume={33}, DOI={10.1109/MSP.2016.2555198},
number={4}, journal={IEEE Signal Processing Magazine}, author={Plinge, Axel and
Jacob, Florian and Haeb-Umbach, Reinhold and Fink, Gernot A.}, year={2016}, pages={14–29}
}'
chicago: 'Plinge, Axel, Florian Jacob, Reinhold Haeb-Umbach, and Gernot A. Fink.
“Acoustic Microphone Geometry Calibration: An Overview and Experimental Evaluation
of State-of-the-Art Algorithms.” IEEE Signal Processing Magazine 33, no.
4 (2016): 14–29. https://doi.org/10.1109/MSP.2016.2555198.'
ieee: 'A. Plinge, F. Jacob, R. Haeb-Umbach, and G. A. Fink, “Acoustic Microphone
Geometry Calibration: An overview and experimental evaluation of state-of-the-art
algorithms,” IEEE Signal Processing Magazine, vol. 33, no. 4, pp. 14–29,
2016.'
mla: 'Plinge, Axel, et al. “Acoustic Microphone Geometry Calibration: An Overview
and Experimental Evaluation of State-of-the-Art Algorithms.” IEEE Signal Processing
Magazine, vol. 33, no. 4, 2016, pp. 14–29, doi:10.1109/MSP.2016.2555198.'
short: A. Plinge, F. Jacob, R. Haeb-Umbach, G.A. Fink, IEEE Signal Processing Magazine
33 (2016) 14–29.
date_created: 2019-07-12T05:30:09Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
doi: 10.1109/MSP.2016.2555198
intvolume: ' 33'
issue: '4'
keyword:
- Acoustic sensors
- Microphones
- Portable computers
- Smart phones
- Wireless communication
- Wireless sensor networks
language:
- iso: eng
page: 14-29
publication: IEEE Signal Processing Magazine
publication_identifier:
issn:
- 1053-5888
status: public
title: 'Acoustic Microphone Geometry Calibration: An overview and experimental evaluation
of state-of-the-art algorithms'
type: journal_article
user_id: '44006'
volume: 33
year: '2016'
...