Clarity-2021 Challenges: Machine Learning Challenges for Advancing Hearing Aid Processing

The dataset used for training and validation of the proposed deep binaural MFMVDR filter, comprising simulated binaural room impulse responses and clean speech and noise.

Data and Resources

Cite this as

Marvin Tammen, Simon Doclo (2024). Dataset: Clarity-2021 Challenges: Machine Learning Challenges for Advancing Hearing Aid Processing. https://doi.org/10.57702/vp1l1fjr

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.1109/IWAENC53105.2022.9914742
Author Marvin Tammen
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Simon Doclo
Homepage https://uol.de/en/sigproc/research/audio-demos/binaural-noise-reduction/deep-bmfmvdr