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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Bibliographic Details

Main Authors:	Saleem, Nasir, Gunawan, Teddy Surya, Shafi, Muhammad, Bourouis, Sami, Trigui, Aymen
Format:	Article
Language:	en en
Published:	IEEE 2023
Subjects:	TK7885 Computer engineering
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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