52 citations · 175 across the 15 of their papers we have counts for
5 papers · 1 filter
Learning Audio Embeddings with User Listening Data for Content-based Music Recommendation
Ke Chen, Beici Liang, Xiaoshuan Ma +1
Personalized recommendation on new track releases has always been a challenging problem in the music industry. To combat this problem, we first explore user listening history and d…
POP909: A Pop-song Dataset for Music Arrangement Generation
Ziyu Wang, Ke Chen, Junyan Jiang +5
Music arrangement generation is a subtask of automatic music generation, which involves reconstructing and re-conceptualizing a piece with new compositional techniques. Such a gene…
MusPy: A Toolkit for Symbolic Music Generation
Hao-Wen Dong, Ke Chen, Julian McAuley +1
In this paper, we present MusPy, an open source Python library for symbolic music generation. MusPy provides easy-to-use tools for essential components in a music generation system…
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm
Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick +1
Drawing an analogy with automatic image completion systems, we propose Music SketchNet, a neural network framework that allows users to specify partial musical ideas guiding automa…
Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions
Ke Chen, Gus Xia, Shlomo Dubnov
Automatic music generation is an interdisciplinary research topic that combines computational creativity and semantic analysis of music to create automatic machine improvisations.…