Chime-home: A dataset for sound source recognition in a domestic environment


For the task of sound source recognition, we introduce a novel data set based on 6.8 hours of domestic environment audio recordings. We describe our approach of obtaining annotations for the recordings. Further, we quantify agreement between obtained annotations. Finally, we report baseline results for sound source recognition using the obtained dataset… (More)
DOI: 10.1109/WASPAA.2015.7336899


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@article{Foster2015ChimehomeAD, title={Chime-home: A dataset for sound source recognition in a domestic environment}, author={Peter Foster and Siddharth Sigtia and Sacha Krstulovic and Jon Barker and Mark D. Plumbley}, journal={2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)}, year={2015}, pages={1-5} }