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Acoustic reflector localization and classification

Acoustic reflector localization and classification
Acoustic reflector localization and classification
The process of understanding acoustic properties of environments is important for several applications, such as spatial audio, augmented reality and source separation. In this paper, multichannel room impulse responses are recorded and transformed into their direction of arrival (DOA)-time domain, by employing a superdirective beamformer. This domain can be represented as a 2D image. Hence, a novel image processing method is proposed to analyze the DOA-time domain, and estimate the reflection times of arrival and DOAs. The main acoustically reflective objects are then localized. Recent studies in acoustic reflector localization usually assume the room to be free from furniture. Here, by analyzing the scattered reflections, an algorithm is also proposed to binary classify reflectors into room boundaries and interior furniture. Experiments were conducted in four rooms. The classification algorithm showed high quality performance, also improving the localization accuracy, for non-static listener scenarios.
Reflector Localization, Reflector Size Classification, Room Impulse Response, Beamforming
2379-190X
201-205
IEEE
Remaggi, L.
c74406cb-15d2-4575-b086-97b55421649e
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Jackson, P.J.B.
cc71f512-a254-4674-9fbe-8833309291f4
Fazi, F.M.
e5aefc08-ab45-47c1-ad69-c3f12d07d807
Hilton, Adrian
12782a55-4c4d-4dfb-a690-62505f6665db
Remaggi, L.
c74406cb-15d2-4575-b086-97b55421649e
Kim, H.
2c7c135c-f00b-4409-acb2-85b3a9e8225f
Jackson, P.J.B.
cc71f512-a254-4674-9fbe-8833309291f4
Fazi, F.M.
e5aefc08-ab45-47c1-ad69-c3f12d07d807
Hilton, Adrian
12782a55-4c4d-4dfb-a690-62505f6665db

Remaggi, L., Kim, H., Jackson, P.J.B., Fazi, F.M. and Hilton, Adrian (2018) Acoustic reflector localization and classification. In 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. pp. 201-205 . (doi:10.1109/ICASSP.2018.8462146).

Record type: Conference or Workshop Item (Paper)

Abstract

The process of understanding acoustic properties of environments is important for several applications, such as spatial audio, augmented reality and source separation. In this paper, multichannel room impulse responses are recorded and transformed into their direction of arrival (DOA)-time domain, by employing a superdirective beamformer. This domain can be represented as a 2D image. Hence, a novel image processing method is proposed to analyze the DOA-time domain, and estimate the reflection times of arrival and DOAs. The main acoustically reflective objects are then localized. Recent studies in acoustic reflector localization usually assume the room to be free from furniture. Here, by analyzing the scattered reflections, an algorithm is also proposed to binary classify reflectors into room boundaries and interior furniture. Experiments were conducted in four rooms. The classification algorithm showed high quality performance, also improving the localization accuracy, for non-static listener scenarios.

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More information

e-pub ahead of print date: 15 April 2018
Published date: 13 September 2018
Venue - Dates: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing: ICASSP 2018, , Calgary, Canada, 2018-04-15 - 2018-04-20
Keywords: Reflector Localization, Reflector Size Classification, Room Impulse Response, Beamforming

Identifiers

Local EPrints ID: 420174
URI: http://eprints.soton.ac.uk/id/eprint/420174
ISSN: 2379-190X
PURE UUID: 83e668d3-9dc4-4888-9f71-9b9593ccbde9
ORCID for H. Kim: ORCID iD orcid.org/0000-0003-4907-0491

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Date deposited: 30 Apr 2018 16:30
Last modified: 18 Feb 2021 17:41

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Contributors

Author: L. Remaggi
Author: H. Kim ORCID iD
Author: P.J.B. Jackson
Author: F.M. Fazi
Author: Adrian Hilton

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