Connectionist system for music interpretation

Author

Pazos, Alejandro ; Del Riego, A. Santos ; Dorado, Julián ; Cardalda, J. J Romero

Author_Institution

Dept. of Comput. Sci., Coruna Univ., Spain

Volume

6

fYear

1999

fDate

36342

Firstpage

4002

Abstract

This paper uses an adaptive technique, the artificial neural network (ANN) for musical interpretation, solving the problems showed by traditional approaches. Human rhythmic perception is studied through several experiments, the suitability of ANN for solving these kind of problems is analyzed compared to other approaches, and a real time connectionist model is presented together with its integration with the musician. This model uses relative inputs and temporal windows for information representation, and it can be used in collaboration with human musicians or independently

Keywords

acoustic signal processing; music; neural nets; ANN; adaptive technique; artificial neural network; connectionist system; music interpretation; real-time connectionist model; relative inputs; rhythmic perception; temporal windows; Artificial intelligence; Artificial neural networks; Collaboration; Collaborative software; Computer science; Humans; Information representation; Learning; Multiple signal classification; Music;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1999. IJCNN '99. International Joint Conference on

Conference_Location

Washington, DC

ISSN

1098-7576

Print_ISBN

0-7803-5529-6

Type

conf

DOI

10.1109/IJCNN.1999.830799

Filename

830799