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

Amrit Singh Balleh, Hoong-Cheng Soong, Surindar Kaur Gurmukh Singh, N. Jalil
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Abstract

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
自动DJ Pad音频混搭播放组合在计算机音乐利用和谐搜索算法
为了加快艰深的音乐创作,计算机音乐必须与计算机在音乐中的应用相结合,借助计算机音乐学下的计算机算法,结合计算机科学与音乐领域的交叉学科,帮助作曲家快速创造性地创作音乐。在DJ Pad系统中使用算法的主要原因是物理DJ系统由于复杂性、耗时和高昂的成本而不是每个人都可以移植。因此,本研究采用元启发式优化算法,即和声搜索算法(HSA)来简化音频文件与DJ Pad按钮相关联的样本音频混搭中的自动化任务。虽然应用了某些规则,某些键由和弦组成,因为音频样本格式不能一起播放,但是HSA算法的数字输出可以映射为单个键或多个键的组合,以便自动进行音频混叠,以产生整体音乐。由于使用手动方法进行相同的重复和平凡的组合,因此允许算法组合接管灵感,生成新的模式集,以避免手动播放时出现类似的重复混搭,这很有趣。因此,它可以使音乐家超越我们人类不知道的可能混搭组合的限制。由于存在许多元启发式算法,因此结果和发现的输出可以用作其他流行的元启发式算法的基准,这些算法正是遗传算法(GA),以与为音频mashup生成的令人满意的输出竞争
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