DeCGAN: Speech Enhancement Algorithm for Air Traffic Control
Air traffic control (ATC) communication is susceptible to speech noise interference, which undermines the quality of civil aviation speech. To resolve this problem, we propose a speech enhancement model, termed DeCGAN, based on the DeConformer generative adversarial network. The model’s generator, t...
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| Main Authors: | Haijun Liang, Yimin He, Hanwen Chang, Jianguo Kong |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/18/5/245 |
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