Iterative Echo Labeling Algorithm With Convex Hull Expansion for Room Geometry Estimation

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Estimating room geometry is an important problem in audio signal processing, with various applications such as dereverberation and spatial audio. Several methods have been proposed to localize the positions of the walls given the times of arrival (TOAs) from acoustic room impulse responses (RIRs). To localize a reflector, reflections from the same wall should be identified first. When multiple microphones are widely installed inside a room, however, it is hard to identify the reflections generated by the same walls, which leads to the echo labeling problem. In this paper, we propose an iterative echo labeling algorithm to solve the echo labeling problem. We construct a convex hull of ellipses with first-arriving reflections at the initial iteration and expand the convex hull by utilizing later reflections at subsequent iterations. While expanding the convex hull, we sequentially localize the walls by inspecting tangents of the convex hull. Finally, the iteration is terminated when the expanded convex hull of ellipses becomes a superset of a room. As a result, the proposed algorithm can solve the echo labeling problem without prior knowledge of the number of walls and high computational complexity.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2021-05
Language
English
Article Type
Article
Citation

IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, v.29, pp.1463 - 1478

ISSN
2329-9290
DOI
10.1109/taslp.2021.3069093
URI
http://hdl.handle.net/10203/282686
Appears in Collection
EE-Journal Papers(저널논문)
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