DOI QR코드

DOI QR Code

Study of Speech Recognition System Operation for Voice-driven UAV Control

음성 기반 무인 항공기 제어를 위한 음성인식 시스템 운용 체계 연구

  • Received : 2018.12.28
  • Accepted : 2019.02.22
  • Published : 2019.03.01

Abstract

As unmanned aerial vehicle (UAV) has been utilized for military operation, efficient ways for controlling UAV has been necessary. In particular, instead of conventional approach using console control, speech recognition based UAV control is essential for military environments in which rapid command operation is required. But research on this novel approach is not actively studied yet. In this study, we introduce efficient ways of speech recognition system operation for voice-driven UAV control, focusing on mission command control from manned aircraft rather than ground control center. We propose an efficient way of system operation for UAV control in cooperation of aircraft and UAV, and verify its efficiency via speech recognition experiment.

군사 작전 환경에서 무인 항공기의 활용도가 확대됨에 따라 효율적인 무인기 제어 방식에 대한 연구가 활발하다. 특히 신속한 임무 처리가 요구되는 군 환경에서 기존의 버튼 방식이 지닌 조작의 불편함을 해소하려는 목적으로 음성인식을 통한 무인기 제어 방식이 시도되고 있으며, 아직 초기연구 수준에 머물러 있다. 본 연구에서는 음성 기반의 무인기 제어를 위해 효율적인 음성인식 시스템 운용 체계를 제안한다. 특히 지상관제 센터에 의한 무인기 제어보다는 유/무인기 협업 환경에서 유인기 조종사가 무인기를 직접 통제하는데 효율적인 음성인식 시스템 운용 방식을 제안하며, 음성인식 실험을 통해 운용 체계의 효율성을 검증한다.

Keywords

References

  1. Shin, J. H., Kim, S. G., and Seok, J. Y., "Development of Robust Flocking Control Law for Multiple UAVs using Behavioral Decentralized Method," Journal of The Korean Society for Aeronautical and Space Sciences, Vol. 43, No. 10, Oct. 2015, pp.859-867. https://doi.org/10.5139/JKSAS.2015.43.10.859
  2. Shin, B. H., Lee, S. H., Lee, H. G., and Lim, S. H., "Cooperative Missions for a Number of Manned & Unmanned Aerial Vehicles," Proceeding of The Korean Society for Aeronautical and Space Sciences Spring Conference, April 2014, pp.805-808.
  3. Steven, G. V. R., "Apache Manned-Unmanned Teaming Capability", ARMY, Sep. 2014, pp.51-52.
  4. Kim, S. W., Seo, M. G., Oh, Y. H., and Kim, B. G., "A Study on Cockpit Voice Command System for Fighter Aircraft," Journal of The Korean Society for Aeronautical and Space Sciences, Vol. 41, No. 12, Dec. 2013, pp.1011-1017. https://doi.org/10.5139/JKSAS.2013.41.12.1011
  5. Choi, S. H., Robust Speech Recognition in Digital Wireless Communication Environments, Korea Advanced Institute of Science and Technology, 1999.
  6. Baaker, H., "Powering up the Mobile Phone," Speech Technology Magazine, 1998.
  7. Kim, H. K., and Cox, R. V., "A Bitstream-Based Front-End for Wireless Speech Recognition on IS-136 Communication System," IEEE Transactions on Speech and Audio Processing, Vol. 9, No. 5, Jul. 2001, pp.558-568. https://doi.org/10.1109/89.928920
  8. Pearce, D., "Enabling New Speech Driven Services for Mobile Devices: An Overview of the ETSI Standards Activities for Distributed Speech Recognition Front-ends," Proceeding of AVIOS 2000: The Speech Applications Conference, May 2000, pp.261-264.
  9. Bahl, P., Han, R. Y., Li, L. E., and Satyanarayanan, M., "Advancing the State of Mobile Cloud Computing," Proceeding of the third ACM Workshop on Mobile Cloud Computing and Services, Jun. 2012, pp.21-28.
  10. Graves, A., Mohamed, A. R., and Hinton, G., "Speech Recognition with Deep Recurrent Neural Networks," Proceeding of IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013, pp.6645-6649.
  11. Yoon, J. S., Park, J. S., and Jo, Y. W., "Command Design for Controlling UAV based on Speech Recognition," Proceeding of The Korean Society for Aeronautical and Space Sciences Spring Conference, April 2017, pp.489-490.