Sergey Repyevsky
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.
Whom Sergey Repyevsky trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Connie M. Borror (in Statistics and Probability)
Papers from Sergey Repyevsky's perspective
Ordered by how strongly the researchers Sergey Repyevsky trusts endorse each paper. Same corpus, a different order for every researcher.
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- WaveNet: A Generative Model for Raw Audio
- Parallel WaveNet: Fast High-Fidelity Speech Synthesis
- Attention-Based Models for Speech Recognition
- Efficient Neural Audio Synthesis
- Waveglow: A Flow-based Generative Network for Speech Synthesis
- Tacotron: Towards End-to-End Speech Synthesis
- Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions
- ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
- Location-Relative Attention Mechanisms for Robust Long-Form Speech Synthesis
Their papers
- Fast and Lightweight On-Device TTS with Tacotron2 and LPCNet (2020) — 9 citations