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@proceedings{1808117,
author = {Kvak, Daniel},
booktitle = {CURATING ONLINE: Cultural Heritage, Creativity, and the Summer of Artificial Intelligence. Is Everything Remix?},
title = {Music as a formal language: Finding parallels between natural language processing and algorithmic composition},
url = {https://cerna-skrinka.cz/symposium-3},
year = {2021}
}
TY - CONF
ID - 1808117
AU - Kvak, Daniel
PY - 2021
TI - Music as a formal language: Finding parallels between natural language processing and algorithmic composition
UR - https://cerna-skrinka.cz/symposium-3
N2 - 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.
ER -
KVAK, Daniel. Music as a formal language: Finding parallels between natural language processing and algorithmic composition. In \textit{CURATING ONLINE: Cultural Heritage, Creativity, and the Summer of Artificial Intelligence. Is Everything Remix?}. 2021.
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