2015年
Outdoor Acoustic Event Identification using Sound Source Separation and Deep Learning with a Quadrotor-Embedded Microphone Array
The 6th International Conference on Advanced Mechatronics (ICAM2015)
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- 巻
- 2015
- 号
- 開始ページ
- 329
- 終了ページ
- 330
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1299/jsmeicam.2015.6.329
- 出版者・発行元
- 一般社団法人日本機械学会
We present acoustic event identification by integration of sound source separation and deep learning based on a convolutional neural network for extremely noisy acoustics signals captured with a 16 ch microphone array embedded in an Unmanned Aerial Vehicle (UAV).We showed that the proposed method can identify over 98% sound sources correctly for a 10 class classification task using 16 ch recorded sound data with a microphone array embedded in a quadrotor.
- リンク情報
- ID情報
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- DOI : 10.1299/jsmeicam.2015.6.329
- ISSN : 1348-8961
- CiNii Articles ID : 110010043699
- CiNii Books ID : AA1208830X