An Iterative Approach to Source Counting and Localization Using Two Distant Microphones
- Submitting institution
-
Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 444
- Type
- D - Journal article
- DOI
-
10.1109/TASLP.2016.2533859
- Title of journal
- IEEE/ACM Transactions on Audio Speech and Language Processing
- Article number
- -
- First page
- 1079
- Volume
- 24
- Issue
- 6
- ISSN
- 2329-9290
- Open access status
- Compliant
- Month of publication
- June
- 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
-
3
- Research group(s)
-
-
- Citation count
- 32
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The work can simultaneously count and localise multiple acoustic sources using only two far-distanced microphones placed at random locations, which is a crucial problem in ad-hoc microphone network. This significantly advances the state of the art, which has yet to achieve source localisation for an unknown and arbitrary number of sources and sensors at arbitrary locations. The work builds a new theoretical framework that interprets the classical GCC-PHAT algorithm with time-frequency processing, thus pushing the boundary of source localization theory. The work was supported by the EPSRC grant EP/K007491/1 (£362,889, 36 months), which lead to five IEEE journal publications.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -