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• W2023541445 abstract "This PhD thesis proposal deals with the automatic analysis of musical audio, focusing on the estimation of the predominant melodic lines, which are used as a basis for extracting musical themes, and (along with other features) for structure recognition. The main focus is set on classical western music in large ensemble settings, which poses interesting research challenges to current state-of-the art algorithms. We will study the limitations of current approaches in this genre, and elaborate specific descriptors and methods, combining audio based analysis with further sources of knowledge and modalities. The creation of appropriate datasets will also be a main aspect, in order to properly evaluate the developed approaches. This work will be used to enrich musical concert related experiences, from music consumers to editors." @default.
• W2023541445 created "2016-06-24" @default.
• W2023541445 creator A5066471982 @default.
• W2023541445 date "2013-01-01" @default.
• W2023541445 modified "2023-09-27" @default.
• W2023541445 title "Automatic melodic and structural analysis of music material for enriched concert related experiences" @default.
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• W2023541445 doi "https://doi.org/10.1145/2502081.2502218" @default.
• W2023541445 hasPublicationYear "2013" @default.
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