Title :
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
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;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.830799