Algorithmic Composition Using Rhythmic Complexity and Emotion Analysis
- Autores: Chih Fang Huang, Chi Fang Chu
- Localización: Computational informatics, social factors and new information technologies: Hypermedia perspectives and avant-garde : experiences in the era of communicability expansion / coord. por Francisco V. C. Ficarra, Andreas Kratky, Kim H. Veltman, Miguel Cipolla Ficarra, Emma Nicol, Mary Brie, 2011, ISBN 9788896471043, págs. 1-12
- Idioma: inglés
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Resumen
Rhythm is one of the key el ements for music composition. This chapter integrates both emotion and rhythm features for automated music generation.
In the field of music emotion recognition, many researchers discuss the music features such as mode, tem po, harmony, and loudness, which significantly influence the human listening recognition result. Even though using rhythm complexity as one of the music features to analyze the music emotion is shown in the literature, it still lacks profound inquiry. In this work, rhythm complexity is used as the key music feature to perform statistical analysis with several musical excerpts; the result is introduced into the algorithmic composition software, which automatically generates music patterns with mathematical calculation.
There are two methods of rhythm complexity applied in the research, and the result shows that rhythm complexity is statistically significant correlated with music emotion arousal. Subsequently, the multiple regression analysis result is adopted into the algorithmic composition system to generate music patterns.
