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

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781509020072
DOI
出版ステータスPublished - 2016 10月 19
外部発表はい
イベント15th International Workshop on Acoustic Signal Enhancement, IWAENC 2016 - Xi'an, China
継続期間: 2016 9月 132016 9月 16

出版物シリーズ

名前2016 International Workshop on Acoustic Signal Enhancement, IWAENC 2016

Conference

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

ASJC Scopus subject areas

  • 信号処理
  • 音響学および超音波学

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