Dataset for Sound Event Detection/Acoustic Scene Analysis

RU Multichannel Domestic Acoustic Scenes 2019

Strong sound event labels of TUT Acoustic Scenes 2016 & 2017 [1][2]

Dataset for Anomalous Sound Detection

ToyADMOS [3]

Dataset for Sound Event Synthesis

RWCP-SSD-Onomatopoeia [4]

[1] A. Mesaros, T. Heittola, and T. Virtanen, “TUT Database for Acoustic Scene Classification and Sound Event Detection," Proc. European Signal Processing Conference (EUSIPCO), pp. 1128-1132.[2] A. Mesaros, T. Heittola, A. Diment, B. Elizalde, A. Shah, E. Vincent, B. Raj, and T. Virtanen, “DCASE 2017 Challenge Setup: Tasks, Datasets and Baseline System,'' Proc. Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE), pp.85–92, 2017.[3] Yuma Koizumi, Shoichiro Saito, Noboru Harada, Hisashi Uematsu and Keisuke Imoto, "ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection," in Proc of Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019. Paper URL:[4] Y. Okamoto, K. Imoto, S. Takamichi, R. Yamanishi, T. Fukumori, and Y. Yamashita, "RWCP-SSD-Onomatopoeia: Onomatopoeic Word Dataset for Environmental Sound Synthesis," arXiv preprint, arXiv:2007.04719, 2020. Paper URL: