U-Shaped Low-Complexity Type-2 Fuzzy LSTM Neural Network for Speech Enhancement-Reference-Cited by-同舟云学术

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

Published:2023 Issue: Volume:11 Page:20814-20826
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Saleem Nasir¹^ORCID,Khattak Muhammad Irfan²^ORCID,AlQahtani Salman A.³^ORCID,Jan Atif²^ORCID,Hussain Irshad²^ORCID,Khan Muhammad Naeem²,Dahshan Mostafa⁴

Affiliation:

1. Department of Electrical Engineering, Faculty of Engineering and Technology, Gomal University, Dera Ismail Khan, Pakistan

2. Faculty of Electrical and Computer Engineering, University of Engineering and Technology Peshawar, Peshawar, Pakistan

3. Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

4. School of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, NSW, Australia

Funder

Research Supporting Project, King Saud University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10054380.pdf?arnumber=10054380

Reference73 articles.

1. An Experimental Study on Speech Enhancement Based on Deep Neural Networks

2. An Algorithm for Predicting the Intelligibility of Speech Masked by Modulated Noise Maskers

3. Exploiting the Moth–Flame Optimization Algorithm for Optimal Load Management of the University Campus: A Viable Approach in the Academia Sector

4. Proactive Caching in D2D Assisted Multitier Cellular Network

5. A Fully Convolutional Neural Network for Complex Spectrogram Processing in Speech Enhancement

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced speech separation through a supervised approach using bidirectional long short-term memory in dual domains;Computers and Electrical Engineering;2024-08

2. Time domain speech enhancement with CNN and time-attention transformer;Digital Signal Processing;2024-04

3. U-NET: A Supervised Approach for Monaural Source Separation;Arabian Journal for Science and Engineering;2024-02-26

4. A novel deep belief network architecture with interval type-2 fuzzy set based uncertain parameters towards enhanced learning;Fuzzy Sets and Systems;2024-02

5. Deep causal speech enhancement and recognition using efficient long-short term memory Recurrent Neural Network;PLOS ONE;2024-01-03