USM Dataset - A Dataset for Polyphonic Sound Event Tagging in Urban Sound Monitoring Scenarios

This dataset includes 24,000 5-seconds-long polyphonic stereo soundscapes composed of sounds taken from the FSD50k dataset: - Eduardo Fonseca, Xavier Favory, Jordi Pons, Frederic Font, Xavier Serra. FSD50K: an Open Dataset of Human-Labeled Sound Events (https://arxiv.org/abs/2010.00475) FSD50k samples used in the USM dataset were selected to allow for commercial usage. Find more details about the USM dataset at https://github.com/jakobabesser/USM

{"references": ["Jakob Abe\u00dfer: Classifying Sounds in Polyphonic Urban Sound Scenes, Proceedings of the 152nd AES Convention (2022)."]}

Keywords

sound event tagging, machine listening, urban sound monitoring

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