Abstract
This article presents a new method for localization of multiple concurrent speech sources that relies on simultaneous blind signal separation and direction of arrival (DOA) estimation, as well as a method to solve the intersection point selection problem that arises when locating multiple speech sources using multiple sensor arrays. The proposed method is based on a low complexity non-parametric blind signal separation method, making is suitable for real-time applications on embedded platforms. On top of reduced complexity in comparison to a previously presented method, the DOA estimation accuracy is also improved. Evaluation of the performance is done with both real recording and simulations, and a real-time prototype of the proposed method has been implemented on a DSP platform to evaluate the computational and the memory complexities in a real application.
Original language | English |
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Pages (from-to) | 1781–1788 |
Number of pages | 8 |
Journal | Signal Processing |
Volume | 91 |
Issue number | 8 |
DOIs | |
Publication status | Published - 2011 Aug |
Externally published | Yes |
Subject classification (UKÄ)
- Signal Processing