Abstract
Home-assistant devices usually use microphone arrays for voice capture and enhancement via beamforming. A key parameter for beamforming is the direction of arrival (DOA) of the relevant speaker. The main disadvantage of DOA estimation algorithms is high memory usage due to the need for a steering vector to be prepared and saved for each candidate DOA. Frequently, a cyclic-symmetrical array is used within these devices. In this paper, a technique for reducing the memory usage for such arrays is shown. Moreover, a technique for blind estimation of the fundamental angle is described. Finally, as an experimental example, a cyclic-symmetrical array with 17 microphones is used for DOA estimation using the generalized cross correlation (GCC) technique and the proposed memory reduction technique is demonstrated.
| Original language | English |
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| Title of host publication | 30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings |
| Publisher | European Signal Processing Conference, EUSIPCO |
| Pages | 46-49 |
| Number of pages | 4 |
| ISBN (Electronic) | 9789082797091 |
| DOIs | |
| State | Published - 2022 |
| Externally published | Yes |
| Event | 30th European Signal Processing Conference, EUSIPCO 2022 - Belgrade, Serbia Duration: 29 Aug 2022 → 2 Sep 2022 |
Publication series
| Name | European Signal Processing Conference |
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| Volume | 2022-August |
| ISSN (Print) | 2219-5491 |
Conference
| Conference | 30th European Signal Processing Conference, EUSIPCO 2022 |
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| Country/Territory | Serbia |
| City | Belgrade |
| Period | 29/08/22 → 2/09/22 |
Bibliographical note
Publisher Copyright:© 2022 European Signal Processing Conference, EUSIPCO. All rights reserved.