Noise reduction using independent vector analysis and noise cancellation for a hose-shaped Rescue Robot

Masaru Ishimura, Shoji Makino, Takeshi Yamada, Nobutaka Ono, Hiroshi Saruwatari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In this paper, we present noise reduction for a hose-shaped rescue robot. The robot is used for searching for disaster victims by capturing their voice with its microphone array. However, the ego noise generated by its vibration motors makes it difficult to distinguish human voices. To solve this problem, we propose a noise reduction method using a blind source separation technique based on independent vector analysis (IVA) and noise cancellation. Our method consists of two steps: (1) estimating a speech signal and an ego noise signal from observed multichannel signals using the IVA-based blind source separation technique, and (2) applying noise cancellation to the estimated speech signal using the estimated ego noise signal as a noise reference. The experimental evaluations show that this approach is effective for suppressing the ego noise.

Original languageEnglish
Title of host publication2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509020072
DOIs
Publication statusPublished - 2016 Oct 19
Externally publishedYes
Event15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016 - Xi'an, China
Duration: 2016 Sep 132016 Sep 16

Publication series

Name2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016

Conference

Conference15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016
CountryChina
CityXi'an
Period16/9/1316/9/16

Keywords

  • Independent vector analysis
  • Noise cancellation
  • Noise reduction
  • Rescue robot
  • Tough environment

ASJC Scopus subject areas

  • Signal Processing
  • Acoustics and Ultrasonics

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