177 citations · 509 across the 26 of their papers we have counts for
6 papers · 1 filter
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…
Audio query-based music source separation
Jie Hwan Lee, Hyeong-Seok Choi, Kyogu Lee
In recent years, music source separation has been one of the most intensively studied research areas in music information retrieval. Improvements in deep learning lead to a big pro…
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…
Phase-aware Speech Enhancement with Deep Complex U-Net
Hyeong-Seok Choi, Jang-Hyun Kim, Jaesung Huh +3
Most deep learning-based models for speech enhancement have mainly focused on estimating the magnitude of spectrogram while reusing the phase from noisy speech for reconstruction.…
Enhancing Music Features by Knowledge Transfer from User-item Log Data
Donmoon Lee, Jaejun Lee, Jeongsoo Park +1
In this paper, we propose a novel method that exploits music listening log data for general-purpose music feature extraction. Despite the wealth of information available in the log…
Sequential Skip Prediction with Few-shot in Streamed Music Contents
Sungkyun Chang, Seungjin Lee, Kyogu Lee
This paper provides an outline of the algorithms submitted for the WSDM Cup 2019 Spotify Sequential Skip Prediction Challenge (team name: mimbres). In the challenge, complete infor…