Speech Enhancement Using Dynamic Learning in Knowledge Distillation via Reinforcement Learning
In recent years, most of the research on speech enhancement (SE) has applied different strategies to improve performance through deep neural network models. However, as the performance improves, the memory resources and computational requirements of the model also increase, making it difficult to di...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10363197/ |