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 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 also used to evaluate participants of the challenge. 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 called DNSMOS for the participants to use during their development phase.

中文翻译：

---

Interspeech 2021深噪声抑制挑战

深度噪声抑制（DNS）挑战旨在促进噪声抑制领域的创新，以实现卓越的感知语音质量。我们最近在INTERSPEECH和ICASSP 2020上组织了一次DNS挑战特别会议。我们为宽带场景开源了培训和测试数据集。我们还开源了基于ITU-T标准P.808的主观评估框架，该框架也用于评估挑战的参与者。来自学术界和工业界的许多研究人员为推动该领域的发展做出了重大贡献，但即使是最好的噪声抑制器，也无法在具有挑战性的场景中实现出色的语音质量。在INTERSPEECH 2021上组织的这一版本的挑战中，我们将扩展我们的训练和测试数据集，以适应全波段场景。这项挑战中的两条轨道将专注于（i）宽带和（ii）全频带场景的实时降噪。我们还将提供一种可靠的，非侵入式的客观语音质量度量标准，称为DNSMOS，供参与者在开发阶段使用。