Search Results for author: Sung Jun Cheon

Found 4 papers, 3 papers with code

Diff-TTS: A Denoising Diffusion Model for Text-to-Speech

1 code implementation3 Apr 2021 Myeonghun Jeong, Hyeongju Kim, Sung Jun Cheon, Byoung Jin Choi, Nam Soo Kim

Although neural text-to-speech (TTS) models have attracted a lot of attention and succeeded in generating human-like speech, there is still room for improvements to its naturalness and architectural efficiency.

Denoising Speech Synthesis

Expressive Text-to-Speech using Style Tag

no code implementations1 Apr 2021 Minchan Kim, Sung Jun Cheon, Byoung Jin Choi, Jong Jin Kim, Nam Soo Kim

In this work, we propose StyleTagging-TTS (ST-TTS), a novel expressive TTS model that utilizes a style tag written in natural language.

Language Modelling TAG

WaveNODE: A Continuous Normalizing Flow for Speech Synthesis

1 code implementation8 Jun 2020 Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang, Sung Jun Cheon, Byoung Jin Choi, Nam Soo Kim

In recent years, various flow-based generative models have been proposed to generate high-fidelity waveforms in real-time.

Speech Synthesis

Giving Space to Your Message: Assistive Word Segmentation for the Electronic Typing of Digital Minorities

1 code implementation31 Oct 2018 Won Ik Cho, Sung Jun Cheon, Woo Hyun Kang, Ji Won Kim, Nam Soo Kim

For readability and disambiguation of the written text, appropriate word segmentation is recommended for documentation, and it also holds for the digitized texts.


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