Acoustic scene classification using self-determination convolutional neural network

Chien Yao Wang, Andri Santoso, Jia Ching Wang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

6 引文 斯高帕斯(Scopus)

摘要

A practical acoustic scene classification (ASC) system identifies the scene of environment by analyzing the properties of audio data that characterize the surroundings. Proposing a robust ASC system is challenging as the sound from natural environment compromises various audio sources and the microphones are not arranged in a controlled condition. Furthermore, not all sounds from long-duration audio data are relevant for identifying scene label. Some sounds may contribute to the noises or the mix of various scene labels. In this work, the problem of mixed information from various sources in natural environment is addressed by proposing a classification system that adapts to the data for each frames of long-duration audio data. The proposed ASC system is designed based on deep learning based approach, and is motivated by the researches in computer vision field. Our method is evaluated on the TUT acoustic scenes 2016 dataset. Several ASC systems have been implemented and discussed in the experiments. The results show the superiority of proposed system versus another systems that have been discussed in this work.

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主出版物標題Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
發行者Institute of Electrical and Electronics Engineers Inc.
頁面19-22
頁數4
ISBN(電子)9781538615423
DOIs
出版狀態已出版 - 2 7月 2017
事件9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 - Kuala Lumpur, Malaysia
持續時間: 12 12月 201715 12月 2017

出版系列

名字Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
2018-February

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???event.eventtypes.event.conference???9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
國家/地區Malaysia
城市Kuala Lumpur
期間12/12/1715/12/17

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