This thesis focuses on the field of music information retrieval. We present the compositional hierarchical model for music information retrieval and evaluate it on the task of multiple fundamental frequency estimation on publicly available MAPS dataset. We evaluate the robustness of the model by varying the parameters of the model and analyse the results through graphical visualizations of model's provided hypotheses. Additionally, we provide improvements to the results through the analysis of the model's output.
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