2 citations · 2 across the 2 of their papers we have counts for
3 papers
eess.AS2021
Assem-VC: Realistic Voice Conversion by Assembling Modern Speech Synthesis Techniques
Kang-wook Kim, Seung-won Park, Junhyeok Lee +1
Recent works on voice conversion (VC) focus on preserving the rhythm and the intonation as well as the linguistic content. To preserve these features from the source, we decompose…
cs.CV2020★ 2 cited
Generating Novel Glyph without Human Data by Learning to Communicate
Seung-won Park
In this paper, we present Neural Glyph, a system that generates novel glyph without any training data. The generator and the classifier are trained to communicate via visual symbol…
eess.AS2020
Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion without Parallel Data
Seung-won Park, Doo-young Kim, Myun-chul Joe
We propose Cotatron, a transcription-guided speech encoder for speaker-independent linguistic representation. Cotatron is based on the multispeaker TTS architecture and can be trai…