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Title: 

RU Multichannel Domestic Acoustic Scenes 2019: A Multichannel Dataset Recorded by Distributed Microphones with Various Properties

Authors: Imoto, Keisuke
Ono, Nobutaka
Date Issued: Oct-2019
Citation: K. Imoto & N. Ono, "RU Multichannel Domestic Acoustic Scenes 2019: A Multichannel Dataset Recorded by Distributed Microphones with Various Properties", Proceedings of the Detection and Classification of Acoustic Scenes and Events 2019 Workshop (DCASE2019), pages 104–108, New York University, NY, USA, Oct. 2019
Abstract: Acoustic scene analysis has seen extensive development recently because it is used in applications such as monitoring, surveillance, life-logging, and advanced multimedia retrieval systems. Acoustic sensors, such as those used in smartphones, wearable devices, and surveillance cameras, have recently rapidly increased in number. The simultaneous use of these acoustic sensors will enable a more reliable analysis of acoustic scenes because they can be utilized for the extraction of spatial information or application of ensemble techniques. However, there are only a few datasets for acoustic scene analysis that make use of multichannel acoustic sensors, and to the best of our knowledge, no large-scale open datasets recorded with multichannel acoustic sensors composed of different devices. In this paper, we thus introduce a new publicly available dataset for acoustic scene analysis, which was recorded by distributed microphones with various characteristics. The dataset is freely available from http://www.ksuke.net/dataset.
First Page: 104
Last Page: 108
DOI: https://doi.org/10.33682/hy6p-g607
Type: Article
Appears in Collections:Proceedings of the Detection and Classification of Acoustic Scenes and Events 2019 Workshop (DCASE2019)

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