Ego Noise Reduction for Hose-Shaped Rescue Robot Combining Independent Low-Rank Matrix Analysis and Multichannel Noise Cancellation

  • Narumi Mae
  • Masaru Ishimura
  • Shoji Makino
  • Daichi Kitamura
  • Nobutaka Ono
  • Takeshi Yamada
  • Hiroshi Saruwatari
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10169)

Abstract

In this paper, we present an ego noise reduction method for a hose-shaped rescue robot, developed for search and rescue operations in large-scale disasters. It is used to search for victims in disaster sites by capturing their voices with its microphone array. However, ego noises are mixed with voices, and it is difficult to differentiate them from a call for help from a disaster victim. To solve this problem, we here propose a two-step noise reduction method involving the following: (1) the estimation of both speech and ego noise signals from observed multichannel signals by multichannel nonnegative matrix factorization (NMF) with the rank-1 spatial constraint, and (2) the application of multichannel noise cancellation to the estimated speech signal using reference signals. Our evaluations show that this approach is effective for suppressing ego noise.

Keywords

Rescue robot Tough environment Noise reduction Nonnegative matrix factorization Independent vector analysis Multichannel noise cancellation 

Notes

Acknowledgments

This work was supported by the Japan Science and Technology Agency and the Impulsing Paradigm Change through Disruptive Technologies Program (ImPACT) designed by the Council for Science, Technology and Innovation, and partly supported by SECOM Science and Technology Foundation. We would also like to express our gratitude to Prof. Hiroshi Okuno and Mr. Yoshiaki Bando for providing experimental data.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Narumi Mae
    • 1
  • Masaru Ishimura
    • 1
  • Shoji Makino
    • 1
  • Daichi Kitamura
    • 2
  • Nobutaka Ono
    • 2
    • 3
  • Takeshi Yamada
    • 1
  • Hiroshi Saruwatari
    • 4
  1. 1.University of TsukubaTsukubaJapan
  2. 2.SOKENDAI (The Graduate University for Advanced Studies)HayamaJapan
  3. 3.National Institute of Informatics (NII)Chiyoda-kuJapan
  4. 4.The University of TokyoBunkyo-kuJapan

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