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researcher

K. Chen

15 papers hereh-index 101.7k citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author6
  • middle author7

Across the 13 of 15 papers where every author was matched, so the position is known.

fields
  • cs.SD13
  • cs.CV1
  • cs.LG1
same name
  • K. Chen — 43 papers, h 26
  • K. Chen — 33 papers
  • K. Chen — 18 papers, h 0
  • K. Chen — 11 papers, h 99
  • K. Chen — 10 papers, h 36
  • K. Chen — 10 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedPOP909: A Pop-song Dataset for Music Arrangement Generation

52 citations · 122 across the 13 of their papers we have counts for

collaborators
Showing 2020 · cs.SDShow all

4 papers · 2 filters

cs.SD2020★ 5 cited

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…

cs.SD2020★ 52 cited

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…

cs.SD2020★ 24 cited

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…

cs.SD2020★ 15 cited

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.…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.