Artificial neural networks based models for automatic performance of musical scores-Reference-Cited by-同舟云学术

Artificial neural networks based models for automatic performance of musical scores

Published:1998-09 Issue:3 Volume:27 Page:239-270
ISSN:0929-8215
Container-title:Journal of New Music Research
language:en
Short-container-title:Journal of New Music Research

Author:

Bresin Roberto

Publisher

Informa UK Limited

Subject

Music,Visual Arts and Performing Arts

Link

http://www.tandfonline.com/doi/pdf/10.1080/09298219808570748

Reference26 articles.

1. Battei, G.U. and Bresin, R. Analysis by sinthesis in piano performance: a study on the theme of Brahms’ Paganini‐Variationen. Proceedings of Stockholm Music Acoustic Conference 1993. Stockholm. pp.69–73. KTH.

2. Battei, G.U., Bresin, R., De Poli, G. and Vidolin, A. Automatic performance of musical scores by mean of neural nerworks: evaluation with listening tests. Proceedings of X CIM Colloquium on Musical Informatics. Milano. pp.97–101. Associazione di Informatica Musicale Italiana.

3. Bresin, R. MELODIA: a program for performance rules testing, for teaching, and for piano scores performing. Proceedings of X CIM Colloquium on Musical Informatics. Milano. pp.325–327. Associazione di Informatica Musicale Italiana.

4. Bresin, R., De Poli, G. and Ghetta, R. A fuzzy approach to performance rules. Proceedings of XI CIM Colloquium on Musical Informatics. Bologna. pp.163–168. Associazione di Informatica Musicale Italiana.

5. Bresin, R., De Poli, G. and Ghetta, R. Fuzzy performance rules. Proceedings of the KTH Symposium on “Grammars far music performance”. Stockholm. pp.15–36. KTH.

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