Waveform Modeling and Generation Using Hierarchical Recurrent Neural Networks for Speech Bandwidth E...
基于递阶递归神经网络的语音频带扩展的波形建模与生成 作者：凌震华老师；成员：Yang Ai , 顾宇, and Li-Rong Dai 摘要 本文提出了一种基于递阶递归神经网络(HRNN)的语音带宽扩展(BWE)的波形建模与生成方法。与传统的预测宽带语音波形谱参数的盲式频带扩展(BWE)方法不同，该方法在不使用声码器的情况下，直接对波形样本进行建模和预测。该模型受一个无条件的神经音频生成器Sa
相关文章
- 1. HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS
- 2. Speech Bandwidth Extension With WaveNet
- 3. (zhuan) Recurrent Neural Network
- 4. Hierarchical Recurrent Neural Networks for Audio Super-Resolution
- 5. Attention and Augmented Recurrent Neural Networks
- 6. LSTM Neural Networks for Language Modeling
- 7. PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
- 8. Recurrent Neural Networks 简述
- 9. Taming Recurrent Neural Networks for Better Summarization
- 10. Hierarchical Generative Modeling for Controllable Speech Synthesis笔记
- 更多相关文章...
- • PHP Secure E-mails - PHP教程
- • Swift for 循环 - Swift 教程
- • RxJava操作符（七）Conditional and Boolean
- • RxJava操作符（六）Utility
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. HIERARCHICAL MULTISCALE RECURRENT NEURAL NETWORKS
- 2. Speech Bandwidth Extension With WaveNet
- 3. (zhuan) Recurrent Neural Network
- 4. Hierarchical Recurrent Neural Networks for Audio Super-Resolution
- 5. Attention and Augmented Recurrent Neural Networks
- 6. LSTM Neural Networks for Language Modeling
- 7. PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs
- 8. Recurrent Neural Networks 简述
- 9. Taming Recurrent Neural Networks for Better Summarization
- 10. Hierarchical Generative Modeling for Controllable Speech Synthesis笔记