no code implementations • 26 May 2020 • XiangJi Wu, Ziwen Zhang, Jie Feng, Lei Zhou, Junmin Wu
We present an end-to-end trainable framework for P-frame compression in this paper.
1 code implementation • 8 Sep 2019 • Xia Liang, Junmin Wu, Jing Cao
In view of the above problem, this paper proposes a RNN-based Hierarchical Multi-modal Fusion Generation Variational Autoencoder (VAE) network, MIDI-Sandwich2, for multi-track symbolic music generation.
no code implementations • 2 Jul 2019 • Xia Liang, Junmin Wu, Yan Yin
The upper layer of HCVAE uses Global Variational Autoencoder(G-VAE) to analyze the latent vector sequence generated by the L-CVAE encoder, to explore the musical relationship between the bars, and to produce the song pieced together by multiple music bars generated by the L-CVAE decoder, which makes the song both have musical structure and sense of direction.