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An Improved State Coherence Transform Algorithm for the Location of Dual Microphone with Multiple Sources

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Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 516))

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Abstract

This paper proposes a new kernel function in state coherence transform to perform multiple time difference of arrival estimation in order to increase the resolution of location in frequency-domain blind source separation. The state coherence transform associated with each source generalizes the GCC for multiple sources and generates envelopes with clear peaks corresponding to the maximum-likelihood TDOAs. However, the weight allocation of the kernel function is unreasonable for small spacing microphones. We propose an improved kernel function to enhance the resolution of small values, which means that a larger weight allocated to smaller values. Experimental results show that the proposed approach allows to separate four speakers, using very short utterances, in highly reverberant environment even with small-spaced microphones of 2 cm.

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References

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Acknowledgments

This work was supported by National Natural Science Foundation of China (NSFC) (No.61671075) and Major Program of National Natural Science Foundation of China (No.61631003).

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Authors and Affiliations

  1. Beijing University of Posts and Telecommunications, Haidian District, Beijing, 100000, China

    Shan Qin & Ting Jiang

Authors
  1. Shan Qin
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  2. Ting Jiang
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Corresponding author

Correspondence to Ting Jiang .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

  2. School of Information and Communication Engineering, Dalian University of Technology, Dalian, China

    Xin Liu

  3. School of Information Science and Technology, Dalian Maritime University, Dalian, China

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Qin, S., Jiang, T. (2020). An Improved State Coherence Transform Algorithm for the Location of Dual Microphone with Multiple Sources. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_130

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  • DOI: https://doi.org/10.1007/978-981-13-6504-1_130

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

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