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Moving Sound Source Extraction by Time-Variant Beamforming

  • Hirofumi Nakajima
  • Kazuhiro Nakadai
  • Yuji Hasegawa
  • Hiroshi Tsujino
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4914)

Abstract

We have developed a time-variant beamforming method that can extract sound signals from moving sound sources. It is difficult to recognize moving sound sources due to their amplitude and frequency distortions caused by the fact that the sources themselves are moving. Using our proposed method, the amplitude and frequency distortions of moving sound sources are precisely equalized so that these sound signals can be extracted. Numerical experiments showed that using our method improves moving sound source extraction. Extracting such sounds is important for successful natural human-robot interaction in a real environment because a robot has to recognize various types of sounds and sound sources.

Keywords

Beamforming Time-variant system Moving sound source 

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References

  1. 1.
    Nakadai, K., et al.: Active audition for humanoid. In: AAAI 2000. 17th National Conf. on Artificial Intelligence, pp. 832–839. AAAI, Stanford, California, USA (2000)Google Scholar
  2. 2.
    Yamamoto, S., et al.: Assessment of General Applicability of Robot Audition system by Recognizing Three Simultaneous Speeches. In: IROS 2004. Proc of 2004 Int. Conf. on Intelligent Robots and Systems, IEEE/RSJ, pp. 2111–2116 (2004)Google Scholar
  3. 3.
    Morse, P.M., Ingard, K.U.: Theoretical Acoustics. In: Princeton, USA, pp. 717–732 (1968)Google Scholar
  4. 4.
    Okuyama, T., Mastuhisa, H., Utsuno, H.: Calculation method of the Sound pressure at a Moving point in the Virtual space using Interpolation of the Transfer function. In: Proc of Noise and Vibration meeting, Acoust Sciety of Japan (in Japanese) (2006) N-2006-64Google Scholar
  5. 5.
    Miyoshi, M., Kaneda, Y.: Inverse Filtering of Room Acoustics. IEEE Trans. on Acoustic Speech and Signal Processing ASSP-36(2), 145–152 (1988)CrossRefGoogle Scholar
  6. 6.
    Nakajima, H.: Minumum mean energy sidelobe beamforming by using indefinite term. The Jounal of the Acoustic Society of Japan, 726–737 (2006) ( in Japanese) Google Scholar
  7. 7.
    Nakajima, H., Tanaka, N., Tsuru, H.: Minimum sidelobe beamforming based on Mini-Max criterion. Acoust. Sci. & Tech. 25(6), 486–488 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Hirofumi Nakajima
    • 1
  • Kazuhiro Nakadai
    • 1
  • Yuji Hasegawa
    • 1
  • Hiroshi Tsujino
    • 1
  1. 1.Honda Research Institute Japan Co., Ltd.Wako-shiJapan

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