CGA-MGAN: Metric GAN Based on Convolution-Augmented Gated Attention for Speech Enhancement
In recent years, neural networks based on attention mechanisms have seen increasingly use in speech recognition, separation, and enhancement, as well as other fields. In particular, the convolution-augmented transformer has performed well, as it can combine the advantages of convolution and self-att...
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| Автори: | , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
MDPI AG
2023-04-01
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| Серія: | Entropy |
| Предмети: | |
| Онлайн доступ: | https://www.mdpi.com/1099-4300/25/4/628 |
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