The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification.
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The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification.
The dataset consists in 50 WAV files sampled at 16KHz for 50 different classes. To each one of the classes, corresponds 40 audio sample of 5 seconds each.
This paper tries to address that issue by presenting a new annotated collection of 2000 short clips comprising 50 classes of various common sound events.
May 1, 2015 · ESC: Dataset for Environmental Sound Classification ... Learn about Data Citation Standards. Description.
The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification.
Provider, ESC. Year, 2015, Dataset release year. Modalities, Audio, Data modalities included in the dataset. Collection name, ESC dataset, Common name for all ...
The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification. The ...
Feb 13, 2023 · ESC: Dataset for Environmental Sound Classification. Proceedings of the 23rd Annual ACM Conference on Multimedia, Brisbane, Australia, 2015. [ ...
Sep 15, 2023 · The ESC-50 dataset consists of 2000 labeled environmental recordings equally balanced between 50 classes (40 clips per class). For convenience, ...