24 citations · 37 across the 11 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…
Hi,KIA: A Speech Emotion Recognition Dataset for Wake-Up Words
Taesu Kim, SeungHeon Doh, Gyunpyo Lee +3
Wake-up words (WUW) is a short sentence used to activate a speech recognition system to receive the user's speech input. WUW utterances include not only the lexical information for…
EdiTTS: Score-based Editing for Controllable Text-to-Speech
Jaesung Tae, Hyeongju Kim, Taesu Kim
We present EdiTTS, an off-the-shelf speech editing methodology based on score-based generative modeling for text-to-speech synthesis. EdiTTS allows for targeted, granular editing o…
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…