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Associated SPS Event: IEEE ICASSP 2021 Grand Challenge
The ICASSP 2021 Deep Noise Suppression (DNS) challenge is designed to foster innovation in the field of noise suppression to achieve superior perceptual speech quality. We recently organized a DNS challenge special session at INTERSPEECH 2020. We open sourced training and test datasets for researchers to train their noise suppression models. We also open sourced a subjective evaluation framework and used the tool to evaluate and pick the final winners. Many researchers from academia and industry made significant contributions to push the field forward. The results of the INTERSPEECH DNS Challenge show we still have a long way to go in achieving superior speech quality in challenging noisy conditions. In this challenge, we will be adding over 20 hours of clean speech with singing and provide more information about the characteristics of the noise based on stationarity. We will also provide over 100000 synthetic and real room impulse responses (RIRs) curated from other data sets.
We will have two tracks for this challenge:
Participants are forbidden from using the blind test set to retrain or tweak their models.They must not submit clips enhanced using any speech enhancement method that is not being submitted to ICASSP 2021 by the authors.Failing to adhere to these rules will lead to disqualification from the challenge.
Please send an email to email@example.com stating that you are interested to participate in the challenge. Please include the following details in your email:
Top three winning teams from each track will be awarded prizes as outlined in the description of the rules.
Please email us, if you have any questions or need clarification about any aspect of the challenge
For further details, please visit the website.