Phan, Huy, Maass, Marco, Hertel, Lars, Mazur, Radoslaw, Mertins, Alfred (2015) A Multi-Channel Fusion Framework for Audio Event Detection. In: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2015). . pp. 1-5. IEEE, New York, USA ISBN 978-1-4799-7450-4. (doi:10.1109/WASPAA.2015.7336889) (KAR id:72689)
PDF
Author's Accepted Manuscript
Language: English |
|
Download this file (PDF/261kB) |
Preview |
Request a format suitable for use with assistive technology e.g. a screenreader | |
Official URL: https://doi.org/10.1109/WASPAA.2015.7336889 |
Abstract
We propose in this paper a simple, yet efficient multi-channel fusion framework for joint acoustic event detection and classification. The joint problem on individual channels is posed as a regression problem to estimate event onset and offset positions. As an intermediate result, we also obtain the posterior probabilities which measure the confidence that event onsets and offsets are present at a temporal position. It facilitates the fusion problem by accumulating the posterior probabilities of different channels. The detection hypotheses are then determined based on the summed posterior probabilities. While the proposed fusion framework appears to be simple and natural, it significantly outperforms all the single-channel baseline systems on the ITC-Irst database. We also show that adding channels one by one into the fusion system yields performance improvements, and the performance of the fusion system is always better than those of the individual-channel counterparts.
Item Type: | Conference or workshop item (Proceeding) |
---|---|
DOI/Identification number: | 10.1109/WASPAA.2015.7336889 |
Uncontrolled keywords: | Acoustic event detection, classification, multi-channel fusion, regression forests |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Huy Phan |
Date Deposited: | 25 Feb 2019 16:33 UTC |
Last Modified: | 05 Nov 2024 12:35 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/72689 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):