Skip to main content

Improved DOA Estimation Method for Sound Source Direction Based on Binaural Signals Using an Array of Two Pairs of Microphones

  • Conference paper
  • First Online:
Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities (IC-AIRES 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 361))

  • 1644 Accesses

Abstract

This paper suggests an effective estimation method of a sound source direction using an array of four microphones. We have used the array incorporated in the Microsoft Kinect device to acquire the binaural signals in real-time. The configuration of the microphone array has been inspired from how human auditory system processes sound waves. The microphone array is composed of four microphones that have been used in two pairs (P1 and P2) at the same diameter to mount the experimental setup. The distance of the array size was defined beforehand. The estimated direction provided by the angle of arrival (AOA) has been investigated. The sound source direction is estimated using the interaural time difference (ITD) measurement calculated by the generalized cross-correlation with phase transform (GCC-PHAT) function. To test the effectiveness of the estimation method, MATLAB trials are carried out under three different sound source distances. Experimental results show that the superiority of the sound source estimation can achieve a minimum accuracy of 92%.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
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

Similar content being viewed by others

References

  1. Strumillo, P. (ed.). Advanced in Sound Localization. Intech Open, Rijeka (2011)

    Google Scholar 

  2. Douaer.B,Y., Ykhlef, F., Ykhlef, F.: Tracking a sound source in two dimensions using microsoft kinect sensors. In: IEEE, Proceedingof the International conference on Advanced Electrical Engineering, pp. 1–4 (2019)

    Google Scholar 

  3. Gombots, S., Nowak, J., Kaltenbacher, M.: Sound source localization - state of the art and new inverse scheme. e & I elektrotechnik und informationstechnik 1–5 (2021)

    Google Scholar 

  4. Sam Kim, S., et al.: Preference for robot service or human service in hotels? Impacts of the COVID-19 panademic. Int. J. Hospitality Manage. 93, 102795 (2021)

    Google Scholar 

  5. Khanal, A., et al.: Search Disaster Victims using Sound Source Localization. ArXiv preprint:2103.06049 (2021)

    Google Scholar 

  6. Nakamura, K., Lana, S., Nakadai, K.: Interactive source localization using robot audition for tablet devices. In: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 6137–6142 (2015)

    Google Scholar 

  7. Li, X., Girin, L., Badeig, F., Horaud, R.: Reverberant sound localization with a robot head based on direct-path relative transfer function. In: EU-FP7 STREP project, EARSarXiv, vol. 03574 (2020)

    Google Scholar 

  8. Evers, C., et al.: The LOCATA challenge: acoustic source localization and tracking. In: IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28 (2020)

    Google Scholar 

  9. Vargas, E.B.K., Subr, K.: Impact of microphone array configurations on robust indirect 3d acoustic source localization. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp: 3221–3225 (2018)

    Google Scholar 

  10. Jarrett, W., Ashley, J.: Beginning Kinect Programming with the Microsoft Kinect SDK. Apress, Berkely (2012)

    Google Scholar 

  11. Saggese, A., et al.: A real-time system for audio source localization with cheap sensor device. In: IEEE, International Conference on Advanced Video and Signal Based Surveillance (AVSS), pp. 1–7 (2017)

    Google Scholar 

  12. Douaer, B., Ykhlef, F., Ykhlef, F.: experimental investigation into the influence of the distance between microphones for 2D real-time sound source localization using GCC-PHAT technique. In: Senouci, M.R., Boudaren, M.E.Y., Sebbak, F., Mataoui, M. (eds.) Advances in Computing Systems and Applications. CSA 2020. Lecture Notes in Networks and Systems, vol. 199, pp. 354–362. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-69418-0_32

  13. May, T., van de Par, S., Kohlrausch, A.: A probabilistic model for robust localization based on a binaural auditory front-end”. IEEE. Trans. Audio Speech Lang. Process. 19, 1–13 (2011)

    Google Scholar 

  14. Sound source: http://catalog.ldc.upenn.edu/LDC93S1. Accessed: 29 Jun 2021

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Belgacem Douaer .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Douaer, B. (2022). Improved DOA Estimation Method for Sound Source Direction Based on Binaural Signals Using an Array of Two Pairs of Microphones. In: Hatti, M. (eds) Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities. IC-AIRES 2021. Lecture Notes in Networks and Systems, vol 361. Springer, Cham. https://doi.org/10.1007/978-3-030-92038-8_53

Download citation

Publish with us

Policies and ethics