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Author:

Sun, Jundai (Sun, Jundai.) | Jia, Maoshen (Jia, Maoshen.) | Bao, Changchun (Bao, Changchun.) (Scholars:鲍长春)

Indexed by:

EI Scopus

Abstract:

This paper proposes a multiple source localization method by using the energy weighted 'single source' zone detection. Specifically, based on the well-known theory that the sum of two values will be more close to the bigger one if the two values vary widely, we suppose that the time-frequency (TF) component with high energy of a source is not easy to overlap with the one of other sources. Therefore, after detecting a 'single source' zone (SSZ) with a slightly lower threshold, we can find more SSZs in a short period for localization and improve the low- delay property. The pseudo 'single source' zone problem caused by the lower threshold is solved by weighting each DOA estimate based on its TF-bin-energy in the zone. The proposed method further eliminates the crosstalk (cross-talk distortion results when an additional TF component from another source is incorrectly assigned to the separated source.) among multiple sources and the evaluations reveal that the proposed method achieves a higher localization accuracy compared with the existing 'single source' zone detection based methods. © 2017 IEEE.

Keyword:

Crosstalk

Author Community:

  • [ 1 ] [Sun, Jundai]Speech and Audio Signal Processing Lab, School of Information and Communication Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Jia, Maoshen]Speech and Audio Signal Processing Lab, School of Information and Communication Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 3 ] [Bao, Changchun]Speech and Audio Signal Processing Lab, School of Information and Communication Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China

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Source :

Year: 2017

Volume: 2018-February

Page: 1679-1683

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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