Correlation maximization-based sampling rate offset estimation for distributed microphone arrays
- Submitting institution
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Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 440
- Type
- D - Journal article
- DOI
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10.1109/TASLP.2016.2517326
- Title of journal
- IEEE/ACM Transactions on Audio Speech and Language Processing
- Article number
- -
- First page
- 571
- Volume
- 24
- Issue
- 3
- ISSN
- 2329-9290
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- 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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1
- Research group(s)
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-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The work solved the fundamental sampling rate mismatch problem, which is crucial for ad-hoc microphone array processing. The work lead to two submissions to the Signal Separation Evaluation Campaign (SISEC 2013 (https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6661988) and SISEC 2015 (https://hal.inria.fr/hal-01188725/document)) and achieved top results out of 5 entries (two years in total) in the task of asynchronous source separation. The work was selected as a cover-feature article at IEEE TASLP (https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7440762). This work was supported by the world-recognized Alexander von Humboldt Fellowship from the Humboldt Foundation Germany (https://www.humboldt-foundation.de).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -