NSE-CATNet: deep neural speech enhancement using convolutional attention transformer network

• Main Authors: Saleem, Nasir, Gunawan, Teddy Surya, Kartiwi, Mira, Nugroho, Bambang Setia, Wijayanto, Inung
• Format: Article
• Language: English; English
• Published: IEEE 2023
• Subjects: TK7885 Computer engineering
• 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
• Institution: Universiti Islam Antarabangsa Malaysia

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...