293 citations · 570 across the 10 of their papers we have counts for
3 papers · 1 filter
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang +1
Generating music has a few notable differences from generating images and videos. First, music is an art of time, necessitating a temporal model. Second, music is usually composed…
Revisiting the problem of audio-based hit song prediction using convolutional neural networks
Li-Chia Yang, Szu-Yu Chou, Jen-Yu Liu +2
Being able to predict whether a song can be a hit has impor- tant applications in the music industry. Although it is true that the popularity of a song can be greatly affected by e…
MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation
Li-Chia Yang, Szu-Yu Chou, Yi-Hsuan Yang
Most existing neural network models for music generation use recurrent neural networks. However, the recent WaveNet model proposed by DeepMind shows that convolutional neural netwo…