A T-F Masking based Monaural Speech Enhancement using U-Net Architecture-Reference-Cited by-同舟云学术

A T-F Masking based Monaural Speech Enhancement using U-Net Architecture

Published:2023-02-23 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Electrical, Computer and Communication Engineering (ECCE)
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Author:

Akter Khadija¹,Mamun Nursadul²,Hossain Md. Azad¹

Affiliation:

1. Chittagong University of Engineering and Technology,Department of Electronics and Telecommunication Engineering,Bangladesh

2. University of Texas at Dallas,Department of Electrical Engineering,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10101485/10100742/10101608.pdf?arnumber=10101608

Reference20 articles.

1. A Comparative Study of IBM and IRM Target Mask for Supervised Malay Speech Separation from Noisy Background

2. An SVM based classification approach to speech separation

3. A Self-Supervised Convolutional Neural Network Approach for Speech Enhancement;nursadul;2021 5th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT),0

4. Convolutional neural network-based speech enhancement for cochlear implant recipients;nursadul;InterSpeech,2019

5. U-net: Convolutional networks for biomedical image segmentation;ronneberger;Medical Image Computing and Computer-Assisted Intervention-MICCAI 2015 18th International Conference,2015

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