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Part 1: Document Description
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Citation |
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Title: |
SINGA:PURA (SINGApore: Polyphonic URban Audio) |
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Identification Number: |
doi:10.21979/N9/Y8UQ6F |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2021-09-04 |
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Version: |
1 |
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Bibliographic Citation: |
Ooi, Kenneth; Watcharasupat, Karn N.; Peksi, Santi; Ong, Zhen-Ting; Chua, Darren; Leow, Hui-Wen; Kwok, Li-Long; Ng, Xin-Lei; Loh, Zhen-Ann; Gan, Woon-Seng, 2021, "SINGA:PURA (SINGApore: Polyphonic URban Audio)", https://doi.org/10.21979/N9/Y8UQ6F, DR-NTU (Data), V1, UNF:6:QFGevQqeXTSQlP0uvTMOhg== [fileUNF] |
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Citation |
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Title: |
SINGA:PURA (SINGApore: Polyphonic URban Audio) |
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Identification Number: |
doi:10.21979/N9/Y8UQ6F |
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Authoring Entity: |
Ooi, Kenneth (Nanyang Technological University) |
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Watcharasupat, Karn N. (Nanyang Technological University) |
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Peksi, Santi (Nanyang Technological University) |
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Ong, Zhen-Ting (Nanyang Technological University) |
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Chua, Darren (Nanyang Technological University) |
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Leow, Hui-Wen (Nanyang Technological University) |
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Kwok, Li-Long (Nanyang Technological University) |
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Ng, Xin-Lei (Nanyang Technological University) |
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Loh, Zhen-Ann (Nanyang Technological University) |
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Gan, Woon-Seng (Nanyang Technological University) |
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Software used in Production: |
.flac |
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Grant Number: |
Translational Research and Development for Application to Smart Nation (TRANS) |
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Grant Number: |
Translational Research and Development for Application to Smart Nation (TRANS) |
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Distributor: |
DR-NTU (Data) |
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Access Authority: |
Ooi Wen Rui Kenneth |
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Depositor: |
Ooi Wen Rui Kenneth |
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Date of Deposit: |
2021-07-12 |
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Holdings Information: |
https://doi.org/10.21979/N9/Y8UQ6F |
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Study Scope |
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Keywords: |
Engineering, Physics, Engineering, Physics, URBAN SOUND TAGGING |
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Abstract: |
This repository contains the <b>SINGA:PURA</b> dataset, a strongly-labelled polyphonic urban sound dataset with spatiotemporal context. The data were collected via a number of 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. The taxonomy we used for the labels in this dataset has been designed to be compatible with other existing datasets for urban sound tagging while also able to capture sound events unique to the Singaporean context. Please refer to our conference paper published in APSIPA 2021 (which is found in this repository as the file "APSIPA.pdf") or download the readme ("Readme.md") for more details regarding the data collection, annotation, and processing methodologies for the creation of the dataset. |
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Kind of Data: |
Audio recordings |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
This dataset is licensed under the Creative Commons Attribution-ShareAlike 4.0 International license (a human-readable summary is available at https://creativecommons.org/licenses/by-sa/4.0/ and the legal document for the license is available at https://creativecommons.org/licenses/by-sa/4.0/legalcode). When attributing the dataset, please acknowledge Kenneth Ooi, Karn Watcharasupat, Santi Peksi, Furi Andi Karnapi, Zhen-Ting Ong, Danny Chua, Hui-Wen Leow, Li-Long Kwok, Xin-Lei Ng, Zhen-Ann Loh, and Woon-Seng Gan. Alternatively, if you are using the dataset in an academic publication, you may want to cite our conference paper instead: K. Ooi, K. Watcharasupat, S. Peksi, F.A. Karnapi, Z.T. Ong, D. Chua, H.W. Leow, L.L. Kwok, X.L. Ng, Z.A. Loh, W.S. Gan, "A Strongly-Labelled Polyphonic Dataset of Urban Sounds with Spatiotemporal Context," in 13th Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2021. |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Bibliographic Citation: |
Ooi, K., Watcharasupat, K. N., Peksi, S., Karnapi, F. A., Ong, Z. T., Chua, D., ... & Gan, W. S. (2021, December). A strongly-labelled polyphonic dataset of urban sounds with spatiotemporal context. In 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (pp. 982-988). IEEE. |
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File Description--f74216 |
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File: labelled_metadata_public.tab |
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Notes: |
UNF:6:6c18900U75lGMaeNiv92qQ== |
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File Description--f74218 |
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File: labels_public.tab |
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Notes: |
UNF:6:7TJV4eAS9cQat02r3N9u0A== |
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File Description--f74217 |
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File: unlabelled_metadata_public.tab |
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Notes: |
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List of Variables: |
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APSIPA.pdf |
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Text: |
Please cite this conference paper as: K. Ooi, K. Watcharasupat, S. Peksi, F.A. Karnapi, Z.T. Ong, D. Chua, H.W. Leow, L.L. Kwok, X.L. Ng, Z.A. Loh, W.S. Gan, "A Strongly-Labelled Polyphonic Dataset of Urban Sounds with Spatiotemporal Context," in 13th Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2021. |
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application/octet-stream |
|
Label: |
unlabelled.z97 |
|
Notes: |
application/octet-stream |
|
Label: |
unlabelled.z98 |
|
Notes: |
application/octet-stream |
|
Label: |
unlabelled.z99 |
|
Notes: |
application/octet-stream |
|
Label: |
unlabelled.zip |
|
Notes: |
application/zip |