{"id":717037,"date":"2021-01-14T10:24:02","date_gmt":"2021-01-14T18:24:02","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-academic-program&p=717037"},"modified":"2023-10-04T13:39:10","modified_gmt":"2023-10-04T20:39:10","slug":"deep-noise-suppression-challenge-interspeech-2021","status":"publish","type":"msr-academic-program","link":"https:\/\/www.microsoft.com\/en-us\/research\/academic-program\/deep-noise-suppression-challenge-interspeech-2021\/","title":{"rendered":"Deep Noise Suppression Challenge \u2013 INTERSPEECH 2021"},"content":{"rendered":"\n\n

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Program dates:<\/strong> January 2020 – March 2021<\/p>\n

The Deep Noise Suppression (DNS) challenge is designed to foster innovation in the area of noise suppression to achieve superior perceptual speech quality. We recently organized a DNS challenge special session at INTERSPEECH 2020 and ICASSP 2020. We open-sourced training and test datasets for the wideband scenario. We also open-sourced a subjective evaluation framework based on ITU-T standard P.808, which was used to evaluate challenge submissions. Many researchers from academia and industry made significant contributions to push the field forward, yet even the best noise suppressor was far from achieving superior speech quality in challenging scenarios. In this version of the challenge organized at INTERSPEECH 2021, we are expanding both our training and test datasets to accommodate full band scenarios. The two tracks in this challenge will focus on real-time denoising for (i) wide band, and (ii) full band scenarios. We are also making available a reliable non-intrusive objective speech quality metric for wide band called DNSMOS for the participants to use during their development phase.<\/p>\n

Challenge description (PDF)<\/a><\/p>\n

We will have two tracks in this challenge:<\/p>\n