Deyi Tuo

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it
• Signal Processing — 46 citations into it
• Speech & Audio — 31 citations into it

Whom Deyi Tuo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Deliang Wang
2. Heiga Zen

Papers from Deyi Tuo's perspective

Ordered by how strongly the researchers Deyi Tuo trusts endorse each paper. Same corpus, a different order for every researcher.

1. WaveNet: A Generative Model for Raw Audio
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. A Regression Approach to Speech Enhancement Based on Deep Neural Networks
6. Parallel WaveNet: Fast High-Fidelity Speech Synthesis
7. ImageNet classification with deep convolutional neural networks
8. Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation
9. Tacotron: Towards End-to-End Speech Synthesis
10. Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

Their papers

• DurIAN: Duration Informed Attention Network For Multimodal Synthesis (2019) — 119 citations
• FullSubNet+: Channel Attention Fullsubnet with Complex Spectrograms for Speech Enhancement (2022) — 152 citations
• DurIAN: Duration Informed Attention Network for Speech Synthesis (2020) — 80 citations