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CHiME-2

The CHiME-2 dataset is a speech separation and recognition challenge dataset. It contains 7138 utterances of 8 speakers, each with 10 seconds of speech.

Data and Resources

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Cite this as

Szu-Wei Fu, Tao-Wei Wang, Yu Tsao, Xugang Lu, Hisashi Kawai (2024). Dataset: CHiME-2. https://doi.org/10.57702/ql147dlg

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It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.1709.03658
Author	Szu-Wei Fu
More Authors	Tao-Wei Wang Yu Tsao Xugang Lu Hisashi Kawai
Homepage	https://www.ias.ac.in/~mhan/CHIME-2/