Abnormal sound detection by two microphones using virtual microphone technique

Kouei Yamaoka, Nobutaka Ono, Shoji Makino, Takeshi Yamada

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

In this paper, we propose a new method of microphone array signal processing for detecting abnormal sounds that is applicable to monitoring elderly people at home and can be implemented on small equipment. This method consists of noise reduction based on a subspace method and sound activity detection (SAD), which is the same as voice activity detection using the signal power. The performance of noise reduction may degrade for underdetermined conditions (the number of microphones is less than that of sound sources). To resolve this issue, we previously proposed a technique of microphone array signal processing that introduced virtual microphones. In this method, signals of virtual microphones are interpolated with those of real ones. By using both real and virtual microphones, this noise reduction method can be applied for a critical / overdetermined condition. In this paper, we apply this method to the subspace method for the first time. After noise reduction, the abnormal sounds can be detected by the SAD method. We conducted an experiment and confirm that the proposed method is effective for detecting abnormal sounds in noisy environments and is robust to abnormal sound directions.

本文言語English
ホスト出版物のタイトルProceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ478-482
ページ数5
ISBN(電子版)9781538615423
DOI
出版ステータスPublished - 2018 2 5
外部発表はい
イベント9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 - Kuala Lumpur, Malaysia
継続期間: 2017 12 122017 12 15

出版物シリーズ

名前Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
2018-February

Other

Other9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
国/地域Malaysia
CityKuala Lumpur
Period17/12/1217/12/15

ASJC Scopus subject areas

  • 人工知能
  • 人間とコンピュータの相互作用
  • 情報システム
  • 信号処理

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