ロボティクス・メカトロニクス講演会講演概要集
Online ISSN : 2424-3124
セッションID: 1A1-09b4
会議情報

部分共有型Deep Neural Networkを用いた音源同定
森戸 隆之杉山 治小島 諒介中臺 一博
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This paper addresses Deep Neural Network (DNN) for Sound Source Identification (SSI) of acoustic signals recorded with a microphone array embedded in an Unmanned Aerial Vehicle (UAV), aiming at people’s voice detection quickly and widely in a disastrous situation. It is well known that training a SSI-DNN needs huge dataset to improve its performance, but building such a dataset is not often realistic owing to the cost of annotation done by human. Therefore, we propose Partially Shared Deep Neural Network (PS-DNN) training using noise-suppressed acoustic signals, which can be obtained in automatic process, in addition to label data annotated by human. This results in more accurate SSI in the situation of lack of dataset for training.

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© 2016 一般社団法人 日本機械学会
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