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pro vyhledávání: '"Masada, Kristen"'
Autor:
Masada, Kristen
Music theoretic constructs such as tonality, harmony, and voice leading are oftenexpressed ambiguously in music, yet the vast majority of datasets and music informationretrieval systems attempt to create analyses that completely cover all musical inp
Autor:
Masada, Kristen S.
We present a new approach to harmonic analysis that is trained to segment music into a sequence of chord spans tagged with a globally optimal set of chord labels. Formulated as a semi-Markov Conditional Random Field (semi-CRF), this joint segmentatio
Autor:
Masada, Kristen, Bunescu, Razvan
We present a new approach to harmonic analysis that is trained to segment music into a sequence of chord spans tagged with chord labels. Formulated as a semi-Markov Conditional Random Field (semi-CRF), this joint segmentation and labeling approach en
Externí odkaz:
http://arxiv.org/abs/1810.10002
Autor:
Masada, Kristen, Bunescu, Razvan
Publikováno v:
International Society for Music Information Retrieval Conference Proceedings; 2019, p1-13, 13p
