Speech enhancement using self-supervised pre-trained model and vector quantization

XY Zhao, QS Zhu, J Zhang - 2022 Asia-Pacific Signal and …, 2022 - ieeexplore.ieee.org
With the development of deep learning, neural network-based speech enhancement (SE)
models have shown excellent performance. Meanwhile, it was shown that the development …
被引用次数：3 相关文章
[PDF] apsipa.org

[PDF][PDF] Speech Enhancement Using Self-Supervised Pre-Trained Model and Vector Quantization

XY Zhao, QS Zhu, J Zhang - apsipa.org
With the development of deep learning, neural network-based speech enhancement (SE)
models have shown excellent performance. Meanwhile, it was shown that the development …
[PDF] apsipa.org

[PDF][PDF] Speech Enhancement Using Self-Supervised Pre-Trained Model and Vector Quantization

XY Zhao, QS Zhu, J Zhang - apsipa.org
With the development of deep learning, neural network-based speech enhancement (SE)
models have shown excellent performance. Meanwhile, it was shown that the development …

Speech Enhancement Using Self-Supervised Pre-Trained Model and Vector Quantization

XY Zhao, QS Zhu, J Zhang - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
With the development of deep learning, neural network-based speech enhancement (SE)
models have shown excellent performance. Meanwhile, it was shown that the development …

Speech Enhancement Using Self-Supervised Pre-Trained Model and Vector Quantization

XY Zhao, QS Zhu, J Zhang - arXiv preprint arXiv:2209.14150, 2022 - arxiv.org
With the development of deep learning, neural network-based speech enhancement (SE)
models have shown excellent performance. Meanwhile, it was shown that the development …