13 citations · 32 across the 6 of their papers we have counts for
6 papers · 1 filter
Few-step Adversarial Schrödinger Bridge for Generative Speech Enhancement
Seungu Han, Sungho Lee, Juheon Lee +1
Deep generative models have recently been employed for speech enhancement to generate perceptually valid clean speech on large-scale datasets. Several diffusion models have been pr…
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…
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…
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…
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…
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…