Musicians' ability has an important role in music performance. What does it happen in computer music playing? In this paper a connessionist approach to the problem of computer music performance is proposed. A hybrid system for computer music automatic performance is showed. In this system, two sets of symbolic and sub-symbolic rules act in co-operation. We propose also some neural nets' models, which learn the performing style of a professional pianist. Some models and applications of neural nets (NNs), that we built, are discussed.
Symbolic and Sub-symbolic Rules System for Real Time Score performance
De Poli, Giovanni;
1992
Abstract
Musicians' ability has an important role in music performance. What does it happen in computer music playing? In this paper a connessionist approach to the problem of computer music performance is proposed. A hybrid system for computer music automatic performance is showed. In this system, two sets of symbolic and sub-symbolic rules act in co-operation. We propose also some neural nets' models, which learn the performing style of a professional pianist. Some models and applications of neural nets (NNs), that we built, are discussed.File in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
Bresin-DePoli-Vidolin_ICMC-1992.pdf
accesso aperto
Tipologia:
Published (Publisher's Version of Record)
Licenza:
Accesso gratuito
Dimensione
837.08 kB
Formato
Adobe PDF
|
837.08 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.