Source localization for multiple speech sources using low complexity non-parametric source separation and clustering
Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering2011 (English)In: Signal Processing, ISSN 0165-1684, E-ISSN 1872-7557, Vol. 91, no 8, 1781-1788 p.Article in journal (Refereed) Published
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.
Place, publisher, year, edition, pages
Elsevier , 2011. Vol. 91, no 8, 1781-1788 p.
Source localization, Direction of arrival estimation, Acoustic arrays, Speech processing
IdentifiersURN: urn:nbn:se:bth-7556DOI: 10.1016/j.sigpro.2011.02.002ISI: 000291291700009Local ID: oai:bth.se:forskinfo52B7292F57A3699EC125789A00312160OAI: oai:DiVA.org:bth-7556DiVA: diva2:835181