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REDUCING BIAS IN THE PROBABILISTIC EVALUATION OF AUDIO MUSIC SIMILARITY
2020
Zenodo
This thesis work conduits research toward the estimation of relevance judgments for the task of Audio Music Similarity in the context of MIREX. It is intended to improve and support the evaluation experiments run for this task from the point of view of efficiency, studying different regression models and methods with the aim of reducing the cost of the annotation process. Therefore, by doing better estimations of relevance judgments and using all the tools at hand (research, literature,
doi:10.5281/zenodo.3727056
fatcat:und4f7vaajaj5nyuqyleci2ad4