11 citations · 24 across the 4 of their papers we have counts for
4 papers
YM2413-MDB: A Multi-Instrumental FM Video Game Music Dataset with Emotion Annotations
Eunjin Choi, Yoonjin Chung, Seolhee Lee +3
Existing multi-instrumental datasets tend to be biased toward pop and classical music. In addition, they generally lack high-level annotations such as emotion tags. In this paper,…
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…
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…
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…