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

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

DOI retrieved: December 2, 2024

Additional Info

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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