A survey of deep learning for polyphonic sound event detection

An Dang, Toan H. Vu, Jia Ching Wang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

13 引文 斯高帕斯(Scopus)

摘要

Deep learning has achieved state of the art in various machine learning problems, such as computer vision, speech recognition, and natural language processing. Sound event detection (SED), which is about recognizing audio events in real-life environments, has attracted a lot of attention recently. Many works have been successful when applying deep learning techniques for the SED problem as can be seen in Detection and Classification of Acoustic Scenes and Events (DCASE) challenge 2016-2017. In this paper, we present a review of the SED problem and discuss different deep learning approaches for the problem.

原文???core.languages.en_GB???
主出版物標題Proceedings of the 2017 International Conference on Orange Technologies, ICOT 2017
編輯Lei Wang, Minghui Dong, Yanfeng Lu, Haizhou Li
發行者Institute of Electrical and Electronics Engineers Inc.
頁面75-78
頁數4
ISBN(電子)9781538632758
DOIs
出版狀態已出版 - 10 4月 2018
事件5th International Conference on Orange Technologies, ICOT 2017 - Singapore, Singapore
持續時間: 8 12月 201710 12月 2017

出版系列

名字Proceedings of the 2017 International Conference on Orange Technologies, ICOT 2017
2018-January

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???event.eventtypes.event.conference???5th International Conference on Orange Technologies, ICOT 2017
國家/地區Singapore
城市Singapore
期間8/12/1710/12/17

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