Fully Quantized Neural Networks for Audio Source Separation
Deep neural networks have shown state-of-the-art results in audio source separation tasks in recent years. However, deploying such networks, especially on edge devices, is challenging due to memory and computation requirements. In this work, we focus on quantization, a leading approach for addressin...
| Main Authors: | , , , |
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| 格式: | 文件 |
| 语言: | English |
| 出版: |
IEEE
2024-01-01
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| 丛编: | IEEE Open Journal of Signal Processing |
| 主题: | |
| 在线阅读: | https://ieeexplore.ieee.org/document/10591369/ |