Hierarchical Recurrent Neural Networks for Audio Super-Resolution
Hierarchical Recurrent Neural Networks for Audio Super-Resolution 基于递阶递归神经网络的音频超分辨率 作者：Berthy Feng 摘要 本工作提出了一种用于音频超分辨率的递归模型，该模型的任务是推断低分辨率录音的高分辨率版本。鉴于缺乏基线方法和最合适的深度学习方法的模糊性，我们将重点放在递归神经网络上。我们提出了一种分层递归神经网
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相关文章
- 1. HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS
- 2. Waveform Modeling and Generation Using Hierarchical Recurrent Neural Networks for Speech Bandwidth E...
- 3. Recurrent Convolutional Neural Networks for Text Classification
- 4. Taming Recurrent Neural Networks for Better Summarization
- 5. Disconnected Recurrent Neural Networks for Text Categorization
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