Recent large scale experiments have shown that the Normalized Information Distance, an algorithmic information measure, is among the best similarity metrics for melody classification.
This paper proposes the use of this distance as a fitness function which may be used by genetic algorithms to automatically generate music in a given pre-defined style. The minimization of this distance of the generated music to a set of musical guides makes it possible to obtain computer-generated music which recalls the style of a certain human author.
The recombination operator plays an important role in this problem and thus several variations are tested to fine tune the genetic algorithm for this application. The superiority of the relative pitch envelope over other music parameters, such as the lengths of the notes, brought us to develop a simplified algorithm that nevertheless obtains interesting results.
Author: Manuel Alfonseca, Manuel Cebrian and Alfonso Ortega
- Social Information Filtering: Algorithms for Automating “Word of Mouth” (Computer Project)
- Intelligent Tourist Information System (Computer Project)
- Student Information System using PHP and MYSQL4 (Computer Project)
- Steganography – A technique to hide information within image file (Software Project)
- Fingerprint Recognition Algorithm Using Phase-Based Image Matching
- Simple Fire Alarm Circuit
- Student Information System in JAVA (Computer Project)