Localization of Flying Bats from Multichannel Audio Signals by Estimating Location Map with Convolutional Neural Networks
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- Fujimori Kazuki
- Hiroshima University
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- Raytchev Bisser
- Hiroshima University
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- Kaneda Kazufumi
- Hiroshima University
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- Yamada Yasufumi
- Hiroshima University
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- Teshima Yu
- Doshisha University
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- Fujioka Emyo
- Doshisha University
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- Hiryu Shizuko
- Doshisha University
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- Tamaki Toru
- Nagoya Institute of Technology
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<p>We propose a method that uses ultrasound audio signals from a multichannel microphone array to estimate the positions of flying bats. The proposed model uses a deep convolutional neural network that takes multichannel signals as input and outputs the probability maps of the locations of bats. We present experimental results using two ultrasound audio clips of different bat species and show numerical simulations with synthetically generated sounds.</p>
収録刊行物
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- Journal of Robotics and Mechatronics
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Journal of Robotics and Mechatronics 33 (3), 515-525, 2021-06-20
富士技術出版株式会社
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詳細情報 詳細情報について
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- CRID
- 1390006973362975488
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- NII論文ID
- 130008054333
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- NII書誌ID
- AA10809998
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- ISSN
- 18838049
- 09153942
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- NDL書誌ID
- 031511571
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可