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...
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Main Authors: | Saleem, Nasir, Gunawan, Teddy Surya, Kartiwi, Mira, Nugroho, Bambang Setia, Wijayanto, Inung |
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Format: | Article |
Language: | English English |
Published: |
IEEE
2023
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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 |
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