Abstract | ||
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This paper introduces a new localization method called SVD-PHAT. The SVD-PHAT method relies on Singular Value Decomposition of the SRP-PHAT projection matrix. A k-d tree is also proposed to speed up the search for the most likely direction of arrival of sound. We show that this method performs as accurately as SRP-PHAT, while reducing significantly the amount of computation required. |
Year | DOI | Venue |
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2018 | 10.1109/icassp.2019.8683253 | 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) |
Keywords | Field | DocType |
Sound Source Localization, SRP-PHAT, SVD-PHAT, Direction of Arrival | Singular value decomposition,Direction of arrival,Computer science,Algorithm,Projection (linear algebra),Acoustic source localization,Computation,Speedup | Journal |
Volume | ISSN | Citations |
abs/1811.11785 | 1520-6149 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
François Grondin | 1 | 7 | 3.92 |
James Glass | 2 | 3123 | 413.63 |