62 citations · 105 across the 10 of their papers we have counts for
4 papers · 1 filter
Cross-speaker Emotion Transfer by Manipulating Speech Style Latents
Suhee Jo, Younggun Lee, Yookyung Shin +2
In recent years, emotional text-to-speech has shown considerable progress. However, it requires a large amount of labeled data, which is not easily accessible. Even if it is possib…
MLP Singer: Towards Rapid Parallel Korean Singing Voice Synthesis
Jaesung Tae, Hyeongju Kim, Younggun Lee
Recent developments in deep learning have significantly improved the quality of synthesized singing voice audio. However, prominent neural singing voice synthesis systems suffer fr…
Voice Imitating Text-to-Speech Neural Networks
Younggun Lee, Taesu Kim, Soo-Young Lee
We propose a neural text-to-speech (TTS) model that can imitate a new speaker's voice using only a small amount of speech sample. We demonstrate voice imitation using only a 6-seco…
Emotional End-to-End Neural Speech Synthesizer
Younggun Lee, Azam Rabiee, Soo-Young Lee
In this paper, we introduce an emotional speech synthesizer based on the recent end-to-end neural model, named Tacotron. Despite its benefits, we found that the original Tacotron s…