Music as a formal language: Finding parallels between natural language processing and algorithmic composition

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KVAK Daniel

Rok publikování 2021
Druh Další prezentace na konferencích
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Popis Machine learning finds its use in solving tasks where there is no domain-specific knowledge. Systems that can extract essential features from the training data set can be found in the field of unsupervised learning. These algorithms can be useful tools for analyzing and modeling musical styles from corpora where we do not have sufficient knowledge to create an independent domain. The generation of terminal elements of syntactic structure is essential for corpus analysis and the subsequent generation of new musical material. In the case of musical composition, terminals may take the form of chords, harmonic changes, melodic fragments, rhythmic figures or even playing techniques of specific instruments. Although this approach evokes a cliché, music and language have more in common than it may seem at first sight; at least in terms of computing technology.
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