Artificial neural networks based models for automatic performance of musical scores
暂无分享,去创建一个
[1] Giovanni De Poli,et al. Symbolic and Sub-Symbolic Rules Systems for Real-Time Score Performance , 1992, ICMC.
[2] Michael I. Jordan. Attractor dynamics and parallelism in a connectionist sequential machine , 1990 .
[3] Giovanni De Poli,et al. A fuzzy approach to performance rules , 1995 .
[4] Giovanni De Poli,et al. A neural networks based system for automatic performance of musical scores , 1994 .
[5] Anders Friberg,et al. A Quantitative Rule System for Musical Performance , 1995 .
[6] B. Repp. Patterns of expressive timing in performances of a Beethoven minuet by nineteen famous pianists. , 1990 .
[7] Giovanni De Poli,et al. Music score interpretation using a multilevel knowledge base , 1990 .
[8] Anders Friberg,et al. Performance Rules for Computer-Controlled Contemporary Keyboard Music , 1991 .
[9] N. Todd. The dynamics of dynamics: A model of musical expression , 1992 .
[10] Anders Friberg. Generative Rules for Music Performance : A Formal Description of a Rule System , 1991 .
[11] Giovanni De Poli,et al. Automatic performance of musical scores by means of neural networks : Evaluation with listening tests , 1993 .
[12] Johan Sundberg,et al. Musical punctuation on the microlevel : Automatic identification and performance of small melodic units , 1998 .
[13] B. Repp. Diversity and commonality in music performance: an analysis of timing microstructure in Schumann's "Träumerei". , 1992, The Journal of the Acoustical Society of America.
[14] Alvise Vidolin,et al. A connectionist approach to timing deviation control in musical performance , 1992 .
[15] Giovanni De Poli,et al. Fuzzy performance rules , 1995 .