• Corpus ID: 241035538

A Strongly-Labelled Polyphonic Dataset of Urban Sounds with Spatiotemporal Context

@article{Ooi2021ASP,
  title={A Strongly-Labelled Polyphonic Dataset of Urban Sounds with Spatiotemporal Context},
  author={Kenneth Ooi and Karn N. Watcharasupat and Santi Peksi and Furi Andi Karnapi and Zhen-Ting Ong and Danny Chua and Hui-Wen Leow and Li-Long Kwok and Xin-Lei Ng and Zhen-Ann Loh and Woonseng Gan},
  journal={2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)},
  year={2021},
  pages={982-988}
}
  • Kenneth OoiKarn N. Watcharasupat W. Gan
  • Published 3 November 2021
  • Computer Science
  • 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
This paper introduces SINGA: PURA, a strongly labelled polyphonic urban sound dataset with spatiotemporal context. The data were collected via several recording units deployed across Singapore as a part of a wireless acoustic sensor network. These recordings were made as part of a project to identify and mitigate noise sources in Singapore, but also possess a wider applicability to sound event detection, classification, and localization. This paper introduces an accompanying hierarchical label… 

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