Projects per year
Abstract
Localization of audio sources using microphone arrays has been an important research problem for more than two decades. Many traditional methods for solving the problem are based on a two-stage procedure: first, information about the audio source, such as time differences-of-arrival (TDOAs) and gain ratios-of-arrival (GROAs) between microphones is estimated, and, second, this knowledge is used to localize the audio source. These methods often have a low computational complexity, but this comes at the cost of a limited estimation accuracy. Therefore, we propose a new localization approach, where the desired signal is modeled using TDOAs and GROAs, which are determined by the source location. This facilitates the derivation of one-stage, maximum likelihood methods under a white Gaussian noise assumption that is applicable in both near- and far-field scenarios. Simulations show that the proposed method is statistically efficient and outperforms state-of-the-art estimators in most scenarios, involving both synthetic and real data.
Original language | English |
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Title of host publication | 2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO 2014) |
Number of pages | 5 |
Publisher | IEEE |
Publication date | Sept 2014 |
Pages | 895-899 |
ISBN (Print) | 9781479946037 |
Publication status | Published - Sept 2014 |
Event | European Signal Processing Conference (EUSIPCO) - Lisbon, Portugal Duration: 1 Sept 2014 → 5 Sept 2014 |
Conference
Conference | European Signal Processing Conference (EUSIPCO) |
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Country/Territory | Portugal |
City | Lisbon |
Period | 01/09/2014 → 05/09/2014 |
Fingerprint
Dive into the research topics of 'Near-field Localization of Audio: A Maximum Likelihood Approach'. Together they form a unique fingerprint.Projects
- 2 Finished
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Localization and Tracking of Speech - a Joint Audio-Visual Approach
01/10/2013 → 30/09/2016
Project: Research
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Spatio-Temporal Filtering Methods for Enhancement and Separation of Speech Signals
Christensen, M. G., Nørholm, S. M., Karimian-Azari, S. & Jensen, J. R.
01/08/2012 → 30/06/2015
Project: Research