2 citations · 2 across the 2 of their papers we have counts for
4 papers
Reverb Conversion of Mixed Vocal Tracks Using an End-to-end Convolutional Deep Neural Network
Junghyun Koo, Seungryeol Paik, Kyogu Lee
Reverb plays a critical role in music production, where it provides listeners with spatial realization, timbre, and texture of the music. Yet, it is challenging to reproduce the mu…
Exploiting Multi-Modal Features From Pre-trained Networks for Alzheimer's Dementia Recognition
Junghyun Koo, Jie Hwan Lee, Jaewoo Pyo +2
Collecting and accessing a large amount of medical data is very time-consuming and laborious, not only because it is difficult to find specific patients but also because it is requ…
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…