Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Implementation of Real-time Sound-location Tracking Method using TDoA for Smart Lecture System

스마트 강의 시스템을 위한 시간차 검출 방식의 실시간 음원 추적 기법 구현

  • Kang, Minsoo (School of Electronics, Kumoh National Institute of Technology) ;
  • Oh, Woojin (School of Electronics, Kumoh National Institute of Technology)
  • Received : 2017.01.09
  • Accepted : 2017.02.02
  • Published : 2017.04.30
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Abstract

Tracking of sound-location is widely used in various area such as intelligent CCTV, video conference and voice commander. In this paper we introduce the real-time sound-location tracking method for smart lecture system using TDoA(Time Difference of Arrival) with orthogonal microphone array on the ceiling. Through discussion on some models of TDoA detection, cross correlation method using linear microphone array is proposed. Orthogonal array with 5 microphone could detect omni direction of sound-location. For real-time detection we adopt the threshold of received energy for eliminating no-voice interval, signed cross correlation for reducing computational complexity. The detected azimuth angles are processed using median filter for lowering the angle deviation. The proposed system is implemented with high performance MCU of TMS320F379D and MEMs microphone module and shows the accuracy of 0.5 and 6.5 in degree for white noise and lectured voice, respectively.

음원 추적은 지능형 CCTV, 화상회의시스템, 음성 명령 인식 등에서 널리 활용되고 있다. 본 논문에서는 스마트강의시스템에 적합한 천정 부착형 직교배열 마이크로 음성 신호의 도착 시간차인 TDoA(Time Difference of Arrival)를 이용하는 실시간 음원추적 기법을 제안한다. TDoA를 위한 점 음원과 평행음원 모델을 분석하고, 3개의 선형배열마이크를 이용하여 상호 상관 방안을 제안하였다. 또한 직교축에 십자 배열된 5개의 마이크를 사용하여 전방위(omni-direction)에서 음원 추적이 가능함을 보였다. 무음구간을 제거하기 위하여 수신 에너지를 이용하였으며 상호상관을 부호로 연산하여 계산량을 줄이고 추정 결과에 미디언 필터(Median Filter)를 적용하여 안정도를 높였다. 제안된 시스템은 고속 MCU인 TMS320F379D와 MEMs마이크 모듈로 구현하여, 방향 검출 성능이 백색잡음이나 음악 등에 대해서는 0.5도, 음성에 대해서는 6.5도의 정밀도를 보였다.

Keywords

References

  1. J. Murray, S. Wermter and H. Erwin, "Auditory robotic tracking of sound sources using hybrid cross-correlation and recurrent networks," in Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2005), Edmonton, AB, Canada, pp. 3554-3559, Aug. 2005.
  2. B. Lee and B. Choi, "Spherical localization of sound source using triangular microphone Array," in Proceedings of the Korean Automatic Control Conference (KACC 2009), Institute of Control, Robotics and Systems, Busan, Korea, pp.360-363, 2009.
  3. J. Han, S. Han, and Lee, "Sound source tracking control of a mobile robot using a microphone airay," Journal of Institute of Control, Robotics and Systems (Korea), vol. 18, no. 4, pp. 343-352, Apr. 2012. https://doi.org/10.5302/J.ICROS.2012.18.4.343
  4. S. Oh and K. Park, "Optimal acoustic sound localization system based on a tetrahedron-shaped microphone array," Journal of Korea Information Scientists and Engineers, vol. 43, no. 1, pp. 13-26, Jan. 2016.
  5. J. Ramirez, J. M. Gorriz, and J. C. Segura, Voice activity detection. fundamentals and speech recognition system robustness. I-TECH, Vienna, Austria, 2007.
  6. Y. A. Huang, J. Benesty (Eds.), Audio signal processing for next-Generation multimedia communication systems, Kluwer Academic Publishers, Boston, USA, 2004.
  7. J. Kim and D. Eom, "TDoA-based practical localization using precision time-synchronization," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 2, pp. 141-154, Feb. 2013.
  8. S. Lee and H. Choi, "On the speaker"s position estimation using TDOA algorithm in vehicle environments", Journal of Digital Contents Society (Korea), vol. 7, no. 2, pp. 71- 79, Apr. 2016.
  9. R.C. Luo, C. H. Huang, and T. T. Lin, "Human tracking and following using sound source localization for multisensor based mobile assistive companion robot," in Proceedings of IECON 2010-36th Annual Conference on IEEE Industrial Electronics Society. Glendale, AZ, USA, IEEE, pp. 1552-1557, 2010.
  10. M. H. Moattar and M. M. Homayounpour, "A simple but efficient real-time voice activity detection algorithm," in Proceedings of 17th European Signal Processing Conference (EUSIPCO), Glasgow, Scotland, IEEE, pp.2549-2553, Aug. 2009.
  11. L. Rabiner, M. Sambur, and C. Schmidt, "Applications of a nonlinear smoothing algorithm to speech processing," IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 23, no. 6, pp. 552-557, Dec. 1975. https://doi.org/10.1109/TASSP.1975.1162749
  12. Texas Instruments Inc. TMS320F2837xD Dual-core Delfino Microcontrollers: Technical Reference Manual. [Internet]. Available: http://www.ti.com/lit/pdf/spruhm8.