Automated composer recognition for multi-voice piano compositions using rhythmic features, n-grams and modified cortical algorithms-Reference-Cited by-同舟云学术

Automated composer recognition for multi-voice piano compositions using rhythmic features, n-grams and modified cortical algorithms

Published:2017-08-08 Issue:1 Volume:4 Page:55-65
ISSN:2199-4536
Container-title:Complex & Intelligent Systems
language:en
Short-container-title:Complex Intell. Syst.

Author:

Hajj Nadine,Filo Maurice,Awad Mariette^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

http://link.springer.com/article/10.1007/s40747-017-0052-x/fulltext.html

Reference35 articles.

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2. Abeler N (2015) Musical composer identification MUS-15

3. Bartle A (2012) Composer identification of digital audio modeling content specific features through Markov models

4. Bello JP, Monti G, Sandler MB et al (2000) Techniques for automatic music transcription. In: Proceedings of the first international symposium on music information retrieval (ISMIR-00), Plymouth, Massachusetts, USA

5. Brown P (1992) Haydn and Mozart’s 1773 stay in Vienna: weeding a musicological garden. J Musicol 10:192–230

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