Multi-attention bottleneck for gated convolutional encoder-decoder-based speech enhancement
Convolutional encoder-decoder (CED) has emerged as a powerful architecture, particularly in speech enhancement (SE), which aims to improve the intelligibility and quality and intelligibility of noise-contaminated speech. This architecture leverages the strength of the convolutional neural networks (...
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Main Authors: | , , , , |
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Format: | Article |
Language: | English English |
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IEEE
2023
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Online Access: | http://irep.iium.edu.my/108080/7/108080_Multi-attention%20bottleneck%20for%20gated%20convolutional%20encoder_SCOPUS.pdf http://irep.iium.edu.my/108080/8/108080_Multi-attention%20bottleneck%20for%20gated%20convolutional%20encoder.pdf http://irep.iium.edu.my/108080/ https://ieeexplore.ieee.org/abstract/document/10283829 |
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http://irep.iium.edu.my/108080/7/108080_Multi-attention%20bottleneck%20for%20gated%20convolutional%20encoder_SCOPUS.pdfhttp://irep.iium.edu.my/108080/8/108080_Multi-attention%20bottleneck%20for%20gated%20convolutional%20encoder.pdf
http://irep.iium.edu.my/108080/
https://ieeexplore.ieee.org/abstract/document/10283829