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Deep Noise Suppression (DNS) challenge

The Deep Noise Suppression (DNS) challenge dataset is a benchmark for speech denoising systems. It consists of 100 hours of training data synthesized using provided codes and default configuration.

Data and Resources

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Cite this as

H. Dubey, V. Gopal, R. Cutler, A. Aazami, S. Matusevych, S. Braun, S. E. Eskimez, M. Thakker, T. Yoshioka, H. Gamper (2024). Dataset: Deep Noise Suppression (DNS) challenge. https://doi.org/10.57702/jh47ejux

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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 2, 2024
Last update December 2, 2024
Author H. Dubey
More Authors
V. Gopal
R. Cutler
A. Aazami
S. Matusevych
S. Braun
S. E. Eskimez
M. Thakker
T. Yoshioka
H. Gamper