LTF-NET: A Low-complexity Three-band Fusion Model For Full-band Speech Enhancement-Reference-Cited by-同舟云学术

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LTF-NET: A Low-complexity Three-band Fusion Model For Full-band Speech Enhancement

Published:2023-05-26 Issue: Volume: Page:
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Container-title:2023 6th International Conference on Artificial Intelligence and Big Data (ICAIBD)
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Author:

Peng Yifen¹,Zou Lingyun²,Zhao Wenjing³,Chen Zhaohui⁴,Huan Sha¹,Cao Zhong¹

Affiliation:

1. Guangzhou University,School of Electronics and Communication Engineering,Guangzhou,China

2. Research Institute,CSSC Systems Engineering,Beijing,China

3. Guangzhou University,Center for Experiment,Guangzhou,China

4. Chongqing University of Science and Technology,School of Mathematics, Physics and Data Science

Funder

National Natural Science Foundation of China

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10206048/10206041/10206097.pdf?arnumber=10206097

Reference25 articles.

1. A short-time objective intelligibility measure for time-frequency weighted noisy speech;taal;IEEE International Conference on Acoustics Speech and Signal Processing,2010

2. Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs;rix;IEEE International Conference on Acoustics Speech and Signal Processing,2001

3. SEGAN: Speech Enhancement Generative Adversarial Network

4. Evaluation of Objective Quality Measures for Speech Enhancement

5. Adam: A method for stochastic optimization;kingma;arXiv preprint arXiv 1412 6980,2014

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