David C. Haws
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it
- Signal Processing — 8 citations into it
- Speech & Audio — 6 citations into it
Whom David C. Haws trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from David C. Haws's perspective
Ordered by how strongly the researchers David C. Haws trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Layer Normalization
- Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions
- Hierarchical Generative Modeling for Controllable Speech Synthesis
- Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron
- Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
- LPCNET: Improving Neural Speech Synthesis through Linear Prediction
- FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
- Learning Latent Representations for Style Control and Transfer in End-to-end Speech Synthesis
- Fully-Hierarchical Fine-Grained Prosody Modeling For Interpretable Speech Synthesis