Acoustic Reflector Localization: Novel Image Source Reversion and Direct Localization Methods
- Submitting institution
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The University of Surrey
- Unit of assessment
- 12 - Engineering
- Output identifier
- 9005160_1
- Type
- D - Journal article
- DOI
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10.1109/TASLP.2016.2633802
- Title of journal
- IEEE/ACM Transactions on Audio, Speech, and Language Processing
- Article number
- -
- First page
- 296-309
- Volume
- 25
- Issue
- 2
- ISSN
- 2329-9304
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2016
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
-
- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Spatial information about an environment is most often acquired from image or video data. This work proposes effective acoustical methods for finding solid boundaries (floor/walls) using a room's response to sound. It provides the first quantitative comparison of different approaches with the state of the art. This contribution opens opportunities for reverb in spatial audio (integrated in EPSRC-S3A Programme VISR, http://s3a-spatialaudio.org, and BBC-EBU BEAR codebases, https://www.bbc.co.uk/rd/projects/binaural-broadcasting), for audio-visual sensing (IEEE VR and IEEE Transactions Multimedia papers) and applications in virtual, augmented and mixed reality (Dolby, MPEG, Google, Facebook).
- Author contribution statement
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- Non-English
- No
- English abstract
- -