Source Localization for Multiple Speech Sources Using Low Complexity Non-Parametric Source Separation and Clustering

Summary, in English

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.

• Författare: Mikael Swartling; Benny Sällberg; Nedelko Grbic
• Publiceringsår: 2011-08
• Språk: Engelska
• Sidor: 1781-1788
• Publikation/Tidskrift/Serie: Signal Processing
• Volym: 91
• Issue: 8
• Länkar: http://dx.doi.org/10.1016/j.sigpro.2011.02.002
• Dokumenttyp: Artikel i tidskrift
• Förlag: Elsevier
• Ämne: Signal Processing
• Status: Published
• ISBN/ISSN/Övrigt: ISSN: 0165-1684