Waveform Modeling and Generation Using Hierarchical Recurrent Neural Networks for Speech Bandwidth E...
基於遞階遞歸神經網絡的語音頻帶擴展的波形建模與生成 作者：凌震華老師；成員：Yang Ai , 顧宇, and Li-Rong Dai 摘要 本文提出了一種基於遞階遞歸神經網絡(HRNN)的語音帶寬擴展(BWE)的波形建模與生成方法。與傳統的預測寬帶語音波形譜參數的盲式頻帶擴展(BWE)方法不同，該方法在不使用聲碼器的情況下，直接對波形樣本進行建模和預測。該模型受一個無條件的神經音頻生成器Sa
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相關文章
- 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 簡述
- 9. Taming Recurrent Neural Networks for Better Summarization
- 10. Hierarchical Generative Modeling for Controllable Speech Synthesis筆記