Hoon-Young Cho

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 — 21 citations into it

Whom Hoon-Young Cho 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 Hoon-Young Cho's perspective

Ordered by how strongly the researchers Hoon-Young Cho trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions
3. The Kaldi Speech Recognition Toolkit
4. Tacotron: Towards End-to-End Speech Synthesis
5. Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron
6. Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
7. Neural Speech Synthesis with Transformer Network
8. ESPnet: End-to-End Speech Processing Toolkit
9. Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
10. LPCNET: Improving Neural Speech Synthesis through Linear Prediction

Their papers

• An Empirical Study on L2 Accents of Cross-lingual Text-to-Speech Systems via Vowel Space (2022)
• Speaking Speed Control of End-to-End Speech Synthesis using Sentence-Level Conditioning (2020) — 19 citations