Mean shift based direction finding and separation of multiple sources using microphone array in the presence of spatial aliasing

Riyo Ishida, Masashi Sekikawa, Yasue Mitsukura, Nozomu Hamada

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a mean shift based method of blind source separation as well as source direction estimation through time-frequency (T-F) decomposition. The basic cue of T-F cell adopted here is the wave propagation vector and the method is applicable to arbitrary array configuration in 3-D space. In addition, it also applicable to wide extent array, thus the method cope with spatial aliasing problem. In order to solve such aliasing problem causing ambiguity of phase, norm normalization property of propagation direction vector is employed. By applying mean shift for both mode search and clustering of probability density estimation, efficient separation procedure is realized as a binary masking in T-F domain. The proposed approach is implemented in four microphones with wide sensor spacing where spatial aliasing may occur. Efficient separation results even for multiple sources are demonstrated.

Original languageEnglish
Title of host publication2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479978625
DOIs
Publication statusPublished - 2015 Sep 8
Event10th Asian Control Conference, ASCC 2015 - Kota Kinabalu, Malaysia
Duration: 2015 May 312015 Jun 3

Other

Other10th Asian Control Conference, ASCC 2015
CountryMalaysia
CityKota Kinabalu
Period15/5/3115/6/3

Fingerprint

Microphones
Blind source separation
Wave propagation
Decomposition
Sensors

Keywords

  • DOA estimation
  • kernel density estimation
  • mean shift
  • microphone array
  • source separation
  • spatial aliasing
  • time-frequency masking

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Ishida, R., Sekikawa, M., Mitsukura, Y., & Hamada, N. (2015). Mean shift based direction finding and separation of multiple sources using microphone array in the presence of spatial aliasing. In 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015 [7244829] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASCC.2015.7244829

Mean shift based direction finding and separation of multiple sources using microphone array in the presence of spatial aliasing. / Ishida, Riyo; Sekikawa, Masashi; Mitsukura, Yasue; Hamada, Nozomu.

2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7244829.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ishida, R, Sekikawa, M, Mitsukura, Y & Hamada, N 2015, Mean shift based direction finding and separation of multiple sources using microphone array in the presence of spatial aliasing. in 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015., 7244829, Institute of Electrical and Electronics Engineers Inc., 10th Asian Control Conference, ASCC 2015, Kota Kinabalu, Malaysia, 15/5/31. https://doi.org/10.1109/ASCC.2015.7244829
Ishida R, Sekikawa M, Mitsukura Y, Hamada N. Mean shift based direction finding and separation of multiple sources using microphone array in the presence of spatial aliasing. In 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7244829 https://doi.org/10.1109/ASCC.2015.7244829
Ishida, Riyo ; Sekikawa, Masashi ; Mitsukura, Yasue ; Hamada, Nozomu. / Mean shift based direction finding and separation of multiple sources using microphone array in the presence of spatial aliasing. 2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015. Institute of Electrical and Electronics Engineers Inc., 2015.
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