Creating Tablature and Arranging Music for Guitar with Genetic Algorithms and Artificial Neural Networks Arranging Music for Guitar with Genetic Algorithms and Artificial Neural Networks Creating Tablature and Arranging Music for Guitar with Genetic Algorithms and Artificial Neural Networks
Creating Tablature and Arranging Music for Guitar with Genetic Algorithms and Artificial Neural Networks Arranging Music for Guitar with Genetic Algorithms and Artificial Neural Networks Creating Tablature and Arranging Music for Guitar with Genetic Algorithms and Artificial Neural Networks
复制标题
使用遗传算法和人工神经网络为吉他创建指法谱和编曲 用遗传算法和人工神经网络为吉他编曲 用遗传算法和人工神经网络为吉他创建指法谱和编曲
DOI:
--
复制
发表时间:
2006
期刊:
影响因子:
--
通讯作者:
Daniel R. Tuohy
中科院分区:
文献类型:
--
作者:
Daniel R. Tuohy
The methods described in this thesis address the problems of both music arranging and tablature generation for the guitar. Arranging is the process by which a piece of music is adapted so that it can be performed on an instrument for which it was not originally written. It is interpreted here as an optimization problem, the goal of which is to establish the most desirable set of notes from the original composition. In the pursuit of this goal, new methods for the automatic generation of guitar tablature were devised. Tablature is a notation system from which the majority of western guitar players read music, and contains information essential to determining the difficulty of a piece of guitar music. Genetic Algorithms are initially employed to solve both the arranging and tablature problems, and an artificial neural network is introduced at a later stage as a faster and more accurate solution to the tablature problem. Index words: Guitar Tablature, Music Arranging, Genetic Algorithms, Neural Networks Creating Tablature and Arranging Music for Guitar with Genetic Algorithms and Artificial Neural Networks