SONYC

By Juan P. Bello, Cláudio T. Silva, Oded Nov, R. Dubois, Anish Arora, Justin Salamon, C. Mydlarz, Harish Doraiswamy. 2019

161 citations recorded by the source corpus.

SONYC integrates sensors, machine listening, data analytics, and citizen science to address noise pollution in New York City.

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FSD50K: An Open Dataset of Human-Labeled Sound Events (2020, background): “1 SER has gained increasing attention in the past few years, becoming a key component in applications related to healthcare [1]–[3], urban sound planning [4], bioacoustics monitoring [5]–[7], multimedia event detection [8] and large-scale event discovery [9], surveillance [10, 11], or noise monitori”
SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context (2020, methodology): “It was used for the Urban Sound Tagging challenge in DCASE 2019, and consists of 3068 audio recordings from the SONYC acoustic sensor network [4].”
Sound Event Detection Using Point-Labeled Data (2019, background): “Applications include detecting source of noise in cities [1], identifying bird species singing in nature recordings [2], and gunshot detection in city recordings [3].”