NSE-CATNet: deep neural speech enhancement using convolutional attention transformer network
Speech enhancement (SE) is a critical aspect of various speech-processing applications. Recent research in this field focuses on identifying effective ways to capture the long-term contextual dependencies of speech signals to enhance performance. Deep convolutional networks (DCN) using self-attentio...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | en en |
| Published: |
IEEE
2023
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/106019/7/106019_NSE-CATNet%20deep%20neural%20speech%20enhancement.pdf http://irep.iium.edu.my/106019/8/106019_NSE-CATNet%20deep%20neural%20speech%20enhancement_Scopus.pdf http://irep.iium.edu.my/106019/ https://ieeexplore.ieee.org/abstract/document/10168245 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|