Robust Real-Time Music Transcription with a Compositional Hierarchical Model

The paper presents a new compositional hierarchical model for robust music transcription. Its main features are unsupervised learning of a hierarchical representation of input data, transparency, which enables insights into the learned representation, as well as robustness and speed which make it su...

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Detalles Bibliográficos
Autores principales: Pesek, Matevž, Leonardis, Aleš, Marolt, Matija
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5207709/
https://www.ncbi.nlm.nih.gov/pubmed/28046074
http://dx.doi.org/10.1371/journal.pone.0169411

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5207709/
https://www.ncbi.nlm.nih.gov/pubmed/28046074
http://dx.doi.org/10.1371/journal.pone.0169411

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