activity
20182026
most citedPOP909: A Pop-song Dataset for Music Arrangement Generation

52 citations · 333 across the 67 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.SD2018★ 4 cited

A Framework for Automated Pop-song Melody Generation with Piano Accompaniment Arrangement

Ziyu Wang, Gus Xia

We contribute a pop-song automation framework for lead melody generation and accompaniment arrangement. The framework reflects the major procedures of human music composition, gene…

cs.LG2018★ 4 cited

Melodic Phrase Segmentation By Deep Neural Networks

Yixing Guan, Jinyu Zhao, Yiqin Qiu +2

Automated melodic phrase detection and segmentation is a classical task in content-based music information retrieval and also the key towards automated music structure analysis. Ho…

cs.SD2018★ 30 cited

The Effect of Explicit Structure Encoding of Deep Neural Networks for Symbolic Music Generation

Ke Chen, Weilin Zhang, Shlomo Dubnov +2

With recent breakthroughs in artificial neural networks, deep generative models have become one of the leading techniques for computational creativity. Despite very promising progr…

cs.SD2018★ 24 cited

Music Style Transfer: A Position Paper

Shuqi Dai, Zheng Zhang, Gus G. Xia

Led by the success of neural style transfer on visual arts, there has been a rising trend very recently in the effort of music style transfer. However, "music style" is not yet a w…

cs.HC2018★ 10 cited

ShIFT: A Semi-haptic Interface for Flute Tutoring

Gus Xia, Carter Jacobsen, Qianwen Chen +2

Traditional instrument learning is time-consuming. It begins with learning music notation and necessitates layers of sophistication and abstraction. Haptic interfaces open another…