11 citations · 22 across the 4 of their papers we have counts for
3 papers
cs.SD2021★ 3 cited
TräumerAI: Dreaming Music with StyleGAN
Dasaem Jeong, Seungheon Doh, Taegyun Kwon
The goal of this paper to generate a visually appealing video that responds to music with a neural network so that each frame of the video reflects the musical characteristics of t…
eess.AS2020★ 8 cited
Polyphonic Piano Transcription Using Autoregressive Multi-State Note Model
Taegyun Kwon, Dasaem Jeong, Juhan Nam
Recent advances in polyphonic piano transcription have been made primarily by a deliberate design of neural network architectures that detect different note states such as onset or…
cs.SD2017★ 11 cited
Audio-to-score alignment of piano music using RNN-based automatic music transcription
Taegyun Kwon, Dasaem Jeong, Juhan Nam
We propose a framework for audio-to-score alignment on piano performance that employs automatic music transcription (AMT) using neural networks. Even though the AMT result may cont…