June Sig Sung

Artificial Intelligence · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it

Whom June Sig Sung trusts

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

1. Diederik P. Kingma (in Artificial Intelligence)
2. Jimmy Ba (in Artificial Intelligence)

Papers from June Sig Sung's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. WaveNet: A Generative Model for Raw Audio
4. Generating Sequences With Recurrent Neural Networks
5. Dropout: a simple way to prevent neural networks from overfitting
6. Parallel WaveNet: Fast High-Fidelity Speech Synthesis
7. Efficient Neural Audio Synthesis
8. Waveglow: A Flow-based Generative Network for Speech Synthesis
9. The Kaldi Speech Recognition Toolkit
10. Tacotron: Towards End-to-End Speech Synthesis

Their papers

• Cross-lingual Text-To-Speech with Flow-based Voice Conversion for Improved Pronunciation (2022) — 3 citations
• High Quality Streaming Speech Synthesis with Low, Sentence-Length-Independent Latency (2020) — 41 citations