U-Shaped Low-Complexity Type-2 Fuzzy LSTM Neural Network for Speech Enhancement

U-Shaped Low-Complexity Type-2 Fuzzy LSTM Neural Network for Speech Enhancement

Speech enhancement (SE) aims to improve the intelligibility and perceptual quality of speech contaminated by noise signals through spectral or temporal changes. Deep learning models achieve speech enhancement and estimate the magnitude spectrum. This paper proposes a novel and computationally effici...

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Bibliographic Details
Main Authors: Nasir Saleem, Muhammad Irfan Khattak, Salman A. AlQahtani, Atif Jan, Irshad Hussain, Muhammad Naeem Khan, Mostafa Dahshan
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Energy redistribution
LSTM
residual connections
speech enhancement
and time-frequency masking
Online Access:https://ieeexplore.ieee.org/document/10054380/

Internet

https://ieeexplore.ieee.org/document/10054380/

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