In this task, the development of selected appropriate musical tune was analyse the patterns of the chords, creating a model utilising Markov chain that generate final tune that mimic thew oriental and have similar musical characteristics. The notes from original piece were counted and calculated with the steady state to assigned percentage to cumulative percentage, generating random notes which represented through Muscore. By verifying the reasonableness of the solutions and further considering observations and assumption the key result was reached. Clarifying the documentation of relevant strengths and limitations of the models that illustrate real-life applications of mathematics improved credibility of this report and recommendation took its place to mitigate the inconsistencies for the future.
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In this task, we analyzed the patterns of the chords in order to develop an appropriate musical tune. We created a model using a Markov chain to generate a final tune that would mimic oriental music and have similar musical characteristics.
We counted and calculated the notes from the original piece and used the steady state to assign percentages to cumulative percentages. These percentages were then used to generate random notes, which were represented through Muscore.
By carefully verifying the reasonableness of the solutions and taking into consideration our observations and assumptions, we were able to reach a key result. We also clarified the documentation of the relevant strengths and limitations of the models, illustrating the real-life applications of mathematics.
This improved the credibility of our report, and we concluded with recommendations to address any inconsistencies for future work.