activity
20172022
most citedNeural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations

13 citations · 32 across the 5 of their papers we have counts for

collaborators

9 papers

cs.SD20228 cited

NANSY++: Unified Voice Synthesis with Neural Analysis and Synthesis

Hyeong-Seok Choi, Jinhyeok Yang, Juheon Lee +1

Various applications of voice synthesis have been developed independently despite the fact that they generate "voice" as output in common. In addition, most of the voice synthesis…

cs.SD20224 cited

Expressive Singing Synthesis Using Local Style Token and Dual-path Pitch Encoder

Juheon Lee, Hyeong-Seok Choi, Kyogu Lee

This paper proposes a controllable singing voice synthesis system capable of generating expressive singing voice with two novel methodologies. First, a local style token module, wh…

cs.SD202113 cited

Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations

Hyeong-Seok Choi, Juheon Lee, Wansoo Kim +3

We present a neural analysis and synthesis (NANSY) framework that can manipulate voice, pitch, and speed of an arbitrary speech signal. Most of the previous works have focused on u…

cs.SD2019

Disentangling Timbre and Singing Style with Multi-singer Singing Synthesis System

Juheon Lee, Hyeong-Seok Choi, Junghyun Koo +1

In this study, we define the identity of the singer with two independent concepts - timbre and singing style - and propose a multi-singer singing synthesis system that can model th…

cs.SD2019

Adversarially Trained End-to-end Korean Singing Voice Synthesis System

Juheon Lee, Hyeong-Seok Choi, Chang-Bin Jeon +2

In this paper, we propose an end-to-end Korean singing voice synthesis system from lyrics and a symbolic melody using the following three novel approaches: 1) phonetic enhancement…

cs.CV2019

Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC)

Jonathan Williams, Carola-Bibiane Schönlieb, Tom Swinfield +4

Developing a robust algorithm for automatic individual tree crown (ITC) detection from laser scanning datasets is important for tracking the responses of trees to anthropogenic cha…