Detection of boat noise by a convolutional neural network for a boat information system

Haruki Yamaguchi, Kenji Muto

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Some boat noises are perceived as noisy and annoying by people who live near canals. We have previously proposed an information system that uses audiovisual means to provide cellphone alerts of approaching noisy boats, but a problem with that system was camera-based detection of a boat approaching at night. In the present paper, we investigate using training data to detect boat noise in environmental sound by means of a convolutional neural network. To detect boat noise, training data are used involving spectrograms of the environmental sound. The spectrogram configuration is investigated to improve the detection of boat noise. From the results, when the spectrogram configuration has a time axis of 5 s and a frequency axis of 10-3,500 Hz, the detection performance has a highest accuracy of over 95%.

本文言語English
ホスト出版物のタイトルProceedings of the 23rd International Congress on Acoustics
ホスト出版物のサブタイトルIntegrating 4th EAA Euroregio 2019
編集者Martin Ochmann, Vorlander Michael, Janina Fels
出版社International Commission for Acoustics (ICA)
ページ2848-2853
ページ数6
ISBN(電子版)9783939296157
DOI
出版ステータスPublished - 2019
イベント23rd International Congress on Acoustics: Integrating 4th EAA Euroregio, ICA 2019 - Aachen, Germany
継続期間: 2019 9 92019 9 23

出版物シリーズ

名前Proceedings of the International Congress on Acoustics
2019-September
ISSN(印刷版)2226-7808
ISSN(電子版)2415-1599

Conference

Conference23rd International Congress on Acoustics: Integrating 4th EAA Euroregio, ICA 2019
国/地域Germany
CityAachen
Period19/9/919/9/23

ASJC Scopus subject areas

  • 機械工学
  • 音響学および超音波学

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