How Music Features and Musical Data Representations Affect Objective Evaluation of Music Composition: A Review of the CSMT Data Challenge 2020.

Yuqiang Li; Shengchen Li; György Fazekas

How Music Features and Musical Data Representations Affect Objective Evaluation of Music Composition: A Review of the CSMT Data Challenge 2020.

Yuqiang Li, Shengchen Li, György Fazekas

Department of Intelligent Science

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Original language	English
Title of host publication	Proceeding of 23rd International Society of Music Information Retrieval Conference
Pages	93-99
Publication status	Published - 4 Dec 2022

Access to Document

https://archives.ismir.net/ismir2022/paper/000010.pdf

Cite this

@inproceedings{7abd1b8a33934c23a7288dc89958514d,

title = "How Music Features and Musical Data Representations Affect Objective Evaluation of Music Composition: A Review of the CSMT Data Challenge 2020.",

author = "Yuqiang Li and Shengchen Li and Gy{\"o}rgy Fazekas",

year = "2022",

month = dec,

day = "4",

language = "English",

pages = "93--99",

booktitle = "Proceeding of 23rd International Society of Music Information Retrieval Conference",

}

How Music Features and Musical Data Representations Affect Objective Evaluation of Music Composition: A Review of the CSMT Data Challenge 2020. / Li, Yuqiang; Li, Shengchen; Fazekas, György.
Proceeding of 23rd International Society of Music Information Retrieval Conference. 2022. p. 93-99.

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - How Music Features and Musical Data Representations Affect Objective Evaluation of Music Composition: A Review of the CSMT Data Challenge 2020.

AU - Li, Yuqiang

AU - Li, Shengchen

AU - Fazekas, György

PY - 2022/12/4

Y1 - 2022/12/4

M3 - Conference Proceeding

SP - 93

EP - 99

BT - Proceeding of 23rd International Society of Music Information Retrieval Conference

ER -