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.