56 citations · 173 across the 13 of their papers we have counts for
14 papers
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…
Semi-supervised learning for continuous emotional intensity controllable speech synthesis with disentangled representations
Yoori Oh, Juheon Lee, Yoseob Han +1
Recent text-to-speech models have reached the level of generating natural speech similar to what humans say. But there still have limitations in terms of expressiveness. The existi…
Spatially multiplexed dielectric tensor tomography
Juheon Lee, Seungwoo Shin, Herve Hugonnet +1
Dielectric tensor tomography (DTT) enables the reconstruction of three-dimensional (3D) dielectric tensors, which provides a physical measure of 3D optical anisotropy. Herein, we p…
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…
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…
Listen to Dance: Music-driven choreography generation using Autoregressive Encoder-Decoder Network
Juheon Lee, Seohyun Kim, Kyogu Lee
Automatic choreography generation is a challenging task because it often requires an understanding of two abstract concepts - music and dance - which are realized in the two differ…
Content-based feature exploration for transparent music recommendation using self-attentive genre classification
Seungjin Lee, Juheon Lee, Kyogu lee
Interpretation of retrieved results is an important issue in music recommender systems, particularly from a user perspective. In this study, we investigate the methods for providin…
Audio Cover Song Identification using Convolutional Neural Network
Sungkyun Chang, Juheon Lee, Sang Keun Choe +1
In this paper, we propose a new approach to cover song identification using a CNN (convolutional neural network). Most previous studies extract the feature vectors that characteriz…
A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery
Juheon Lee, David Coomes, Carola-Bibiane Schonlieb +6
Recognising individual trees within remotely sensed imagery has important applications in forest ecology and management. Several algorithms for tree delineation have been suggested…
Non-parametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Forests
Juheon Lee, Xiaohao Cai, Carola-Bibiane Schonlieb +1
There is much current interest in using multi-sensor airborne remote sensing to monitor the structure and biodiversity of forests. This paper addresses the application of non-param…