Automated DJ Pad Audio Mashups Playback Compositions in Computer Music Utilizing Harmony Search Algorithm

To expedite the arduous music compositions, computer music is essential to combine with the application of computing to music to assist music composers to create music rapidly and creatively using the computer algorithms under the computer musicology with the combination of interdisciplinary compute...

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Bibliographic Details
Published in2021 IEEE 19th Student Conference on Research and Development (SCOReD) pp. 388 - 393
Main Authors Balleh, Amrit Singh, Soong, Hoong-Cheng, Gurmukh Singh, Surindar Kaur, Jalil, Norazira A
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.11.2021
Subjects
Algorithmic Composition
Audio Mashup
Benchmark testing
Computational Musicology
Computer Music
Costs
Harmony Search Algorithm
Machine learning algorithms
Mashups
Metaheuristics
Music
Technological innovation
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Summary:To expedite the arduous music compositions, computer music is essential to combine with the application of computing to music to assist music composers to create music rapidly and creatively using the computer algorithms under the computer musicology with the combination of interdisciplinary computer science and music fields. The prime of the utilizing algorithmic into DJ Pad system is that the physical DJ systems are not portability feasible for everyone due to complexity, time consuming and exorbitant cost. Therefore, the proposed research employs the metaheuristic optimization algorithm that is Harmony Search Algorithm (HSA) to simplify the automated tasks in the sample audio mashups that the audio files are associated with the button at the DJ Pad. Although certain rules are applied that certain keys consist of chords as in audio sample format cannot be played together, the output of the numbers from the HSA algorithms can be mapped as the combinations of the single key or multiple keys pressed in order to automate the audio mashups to produce the music as whole. Due to the same repetitive and mundane combinations using manual methods, it is interesting to allow algorithmic composition to take over to for inspirations to have new set of patterns routinely generated to avoid similar repetitive mashups when it is played manually. Thus, it could transpire the musicians to go beyond the limits of the possible mashup combinations that we humans are not aware of. Since there are numerous metaheuristic algorithms existed, the results and the output of the findings can be used as the benchmark to other popular metaheuristic algorithm that is none other than Genetic Algorithm (GA) to compete the pleasant output generated for the audio mashups
ISSN:2643-2447
DOI:10.1109/SCOReD53546.2021.9652691