2 citations · 3 across the 5 of their papers we have counts for
5 papers
JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech
Dan Lim, Sunghee Jung, Eesung Kim
In neural text-to-speech (TTS), two-stage system or a cascade of separately learned models have shown synthesis quality close to human speech. For example, FastSpeech2 transforms a…
Domain-adversarial training of multi-speaker TTS
Sunghee Jung, Hoirin Kim
Multi-speaker TTS has to learn both linguistic embedding and text embedding to generate speech of desired linguistic content in desired voice. However, it is unclear which characte…
Neural voice cloning with a few low-quality samples
Sunghee Jung, Hoirin Kim
In this paper, we explore the possibility of speech synthesis from low quality found data using only limited number of samples of target speaker. We try to extract only the speaker…
Non-parallel voice conversion based on source-to-target direct mapping
Sunghee Jung, Youngjoo Suh, Yeunju Choi +1
Recent works of utilizing phonetic posteriograms (PPGs) for non-parallel voice conversion have significantly increased the usability of voice conversion since the source and target…
Pitchtron: Towards audiobook generation from ordinary people's voices
Sunghee Jung, Hoirin Kim
In this paper, we explore prosody transfer for audiobook generation under rather realistic condition where training DB is plain audio mostly from multiple ordinary people and refer…