Direction of arrival estimation in the spherical harmonic domain using subspace pseudointensity vectors
- Submitting institution
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University of Southampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 54260059
- Type
- D - Journal article
- DOI
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10.1109/TASLP.2016.2613280
- Title of journal
- IEEE/ACM Transactions on Audio, Speech, and Language Processing
- Article number
- -
- First page
- 178
- Volume
- 25
- Issue
- 1
- ISSN
- 2329-9304
- Open access status
- Technical exception
- Month of publication
- September
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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-
- Citation count
- 34
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is the culmination of several well-cited conference papers (10.1109/IWAENC.2014.6954298, 10.1109/EUSIPCO.2015.7362794, 10.1109/EUSIPCO.2016.7760442, and 10.1109/ICDSP.2015.7252072). The paper was published in the top journal for Audio & Acoustic Signal Processing (journal IF 3.531). The proposed approach was submitted to the IEEE-SPS LOCATA Challenge (https://arxiv.org/abs/1909.01008) and ranked second among the submissions for the multi-source scenarios using a spherical microphone array.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -