Deep Noise Suppression (DNS) Challenge
Emerging4papers using it
2022first seen
The Deep Noise Suppression (DNS) Challenge is a benchmark dataset used to evaluate the performance of speech enhancement algorithms in reducing noise from single-channel speech signals.
Papers using Deep Noise Suppression (DNS) Challenge (4)
- Fast FullSubNet: Accelerate Full-band and Sub-band Fusion Model for
Single-channel Speech EnhancementImproving Speech Enhancement through Fine-Grained Speech CharacteristicsSpeech Enhancement for Virtual Meetings on Cellular NetworksFrequency bin-wise single channel speech presence probability estimation
using multiple DNNs