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

På svenska

Author

  • Mikael Swartling
  • Benny Sällberg
  • Nedelko Grbic

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.

Publishing year

2011-08

Language

English

Pages

1781-1788

Publication/Series

Signal Processing

Volume

91

Issue

8

Document type

Journal article

Publisher

Elsevier

Topic

  • Signal Processing

Status

Published

ISBN/ISSN/Other

  • ISSN: 0165-1684