14 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.SD2023
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…
cs.CL2022★ 1 cited
Text-driven Emotional Style Control and Cross-speaker Style Transfer in Neural TTS
Yookyung Shin, Younggun Lee, Suhee Jo +2
Expressive text-to-speech has shown improved performance in recent years. However, the style control of synthetic speech is often restricted to discrete emotion categories and requ…
cs.LG2020★ 14 cited
Mel-spectrogram augmentation for sequence to sequence voice conversion
Yeongtae Hwang, Hyemin Cho, Hongsun Yang +3
For training the sequence-to-sequence voice conversion model, we need to handle an issue of insufficient data about the number of speech pairs which consist of the same utterance.…