Raahil Shah
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it
Whom Raahil Shah trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma (in Artificial Intelligence)
Papers from Raahil Shah's perspective
Ordered by how strongly the researchers Raahil Shah trusts endorse each paper. Same corpus, a different order for every researcher.
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Tacotron: Towards End-to-End Speech Synthesis
- Parallel WaveNet: Fast High-Fidelity Speech Synthesis
- Char2Wav: End-to-End Speech Synthesis
- Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis (Neural Information Processing Systems)
- Learning Latent Representations for Style Control and Transfer in End-to-end Speech Synthesis
- Audio augmentation for speech recognition
- Semi-supervised Training for Improving Data Efficiency in End-to-end Speech Synthesis
- A study on data augmentation of reverberant speech for robust speech recognition
- CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech
Their papers
- Low-Resource Expressive Text-To-Speech Using Data Augmentation (2020) — 65 citations