Abstract
A novel approach to calibrate the geometry of microphones using a single sound event is proposed. A variant of the expectation-maximization algorithm is employed to estimate the spatial coherence matrix of the reverberant sound field directly from the microphone signals. By matching the spatial coherence to theoretical models, the pairwise microphone distances are estimated. From this, the overall geometry is computed. Simulations and lab recordings are used to show that the proposed method outperforms a related approach that assumes a perfectly diffused sound field.
| Original language | English |
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| Title of host publication | 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 131-135 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538616321 |
| DOIs | |
| State | Published - 7 Dec 2017 |
| Event | 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017 - New Paltz, United States Duration: 15 Oct 2017 → 18 Oct 2017 |
Publication series
| Name | IEEE Workshop on Applications of Signal Processing to Audio and Acoustics |
|---|---|
| Volume | 2017-October |
Conference
| Conference | 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017 |
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| Country/Territory | United States |
| City | New Paltz |
| Period | 15/10/17 → 18/10/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.