Skip to main content
SpringerLink
Log in

Research on Sound Source Localization Algorithm of Spatial Distributed Microphone Array Based on PHAT Model

  • Conference paper
  • First Online:
Communications, Signal Processing, and Systems (CSPS 2018)

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

  • 2206 Accesses

Abstract

With the development of artificial intelligence voice technology, array signal processing technology has been widely used in intelligent human–computer interaction. In this field, the sound source localization technology of the microphone array system is also one of the key technologies in the composition of intelligent systems, and it is also a research hotspot technology, which is of great significance for improving human–computer interaction ability. In this paper, the microphone array technology is used to demonstrate and improve the sound source localization of indoor speech signals. A spatial distributed microphone array localization algorithm is proposed to improve the accuracy of the indoor voice source signal localization in the presence of indoor noise and reverberation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Dmochowski JP, Goubran RA. Decoupled beamforming and noise cancellation. IEEE Trans. Instrumentation Meas. 2007;56(1):80–8.

    Article  Google Scholar 

  2. Talagala Dumidu S, Zhang W, Abhayapala TD. Broadband DOA estimation using sensor arrays on complex-shaped rigid bodies. IEEE Trans Audio, Speech Lang Processing. 2013;21(8):1573–85.

    Article  Google Scholar 

  3. Minotto VP, Jung CR, Lee B. Simultaneous-speaker activity detection and localization using mid-fusion of SVM and HMMs. IEEE Trans Multimed. 2014;16(4):1032–44.

    Google Scholar 

  4. Yong-guang C, Xiu-he L. Indoor positioning technology based on signal strength. Electron. J. 2010;7(9):1457–8.

    Google Scholar 

  5. Zuo-liang Y. Experimental research on MUSIC sound source location based on microphone array. Ha er bin: Harbin Institute of Technology, 2011.

    Google Scholar 

  6. Huan Y, Meng-rao Z, Xiao-qiang Z. Microphone array consistency analysis based on time delay estimation. Fudan J (Nat Sci Ed.), 2017;56(02):175–81.

    Google Scholar 

  7. Yi-bo Z, Wei J, Li-fu W. Speech signal endpoint detection method based on microphone array adaptive nonlinear filtering. Sci Bull. 2017;33(04):199–203.

    Google Scholar 

Download references

Acknowledgements

This paper is supported by the Natural Science Foundation of China 61501176 and Natural Science Foundation of Heilongjiang province F2018025.

Author information

Authors and Affiliations

  1. School of Electronics Engineering, Heilongjiang University, Harbin, 150080, China

    Yong Liu, Jia qi Zhen, Yan chao Li & Zhi qiang Hu

Authors
  1. Yong Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jia qi Zhen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yan chao Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zhi qiang Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jia qi Zhen .

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

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, Y., Zhen, J.q., Li, Y.c., Hu, Z.q. (2020). Research on Sound Source Localization Algorithm of Spatial Distributed Microphone Array Based on PHAT Model. 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_171

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-6504-1_171

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6503-4

  • Online ISBN: 978-981-13-6504-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation