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The 5th DNS Challenge aims to motivate development of DNS models with great speech quality in presence of reverberation, noise and interfering (neighboring) talkers. DNS has gained momentum given new trends of hybrid and remote work in a variety of daily-life scenarios. Improving speech quality reduce meeting fatigue and improve clarity of communication. This challenge is intended to promote industry-academia collaboration on deep speech enhancement research. Challenge aims to study headset and speakerphone DNS separately allowing possibility of new insights. Headset DNS track motivates researchers to leverage acoustic properties of headset scenarios in developing models for suppressing neighboring talkers without enrollment speech. Like past challenges, models in both tracks (Track-1 Headset DNS; and Track-2 Speakerphone DNS.) will be ranked in terms of a final score obtained by weighted average of subjective P.835 scores and word accuracy (WAcc). The goal is to enhance audio signal to preserve the primary talker while suppressing the neighboring talkers, noise, and reverberation. All datasets used in challenge are full band (48 kHz).
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