23 citations · 37 across the 19 of their papers we have counts for
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eess.AS2023★ 5 cited
ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression
Yixin Wan, Yuan Zhou, Xiulian Peng +2
Noise suppression (NS) models have been widely applied to enhance speech quality. Recently, Deep Learning-Based NS, which we denote as Deep Noise Suppression (DNS), became the main…
eess.AS2023
Time-Variance Aware Real-Time Speech Enhancement
Chengyu Zheng, Yuan Zhou, Xiulian Peng +2
Time-variant factors often occur in real-world full-duplex communication applications. Some of them are caused by the complex environment such as non-stationary environmental noise…
eess.AS2023
Real-time speech enhancement with dynamic attention span
Chengyu Zheng, Yuan Zhou, Xiulian Peng +2
For real-time speech enhancement (SE) including noise suppression, dereverberation and acoustic echo cancellation, the time-variance of the audio signals becomes a severe challenge…