| Autor: |
Norah AlAli, Bibi Ali, Ghadeer AlQallaf, Sarah AlRasheedi, Muammer Catak, Malak AlMeri |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT). |
| Popis: |
In this study, classical music has been investigated mainly based on pieces of well-known composers Mozart and Beethoven, then AI composer based on Markov chains and RNN has been proposed. AI is an efficient tool in science and technology for many specific applications including music field. The database has been collected based on 25 classical music sheets. The notes were separated in two groups where they are right hand and left hand. The database includes the notes and their frequencies and durations. The transition probability of each note were calculated. After the selection of the first note randomly, then the following notes were generated by means of the transition matrix. According to the results, both methods show an adequate level of quality considering the generation of notes by means of AI composer. The authors recommend to use Markov chains if a simple but efficient tool is appropriate considering the design criteria. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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