Deep recurrent music writer: memory-enhanced variational autoencoder-based musical score composition and an objective measure

Download full text files

  • 71908.pdfeng
    (408KB)

    Postprint. © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Export metadata

Statistics

Number of document requests

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Romain Sabathe, Eduardo Coutinho, Björn SchullerORCiDGND
URN:urn:nbn:de:bvb:384-opus4-719088
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/71908
ISBN:9781509061822OPAC
Parent Title (English):International Joint Conference on Neural Networks (IJCNN), 14-19 May, 2017, Anchorage, USA
Publisher:IEEE
Place of publication:Piscataway, NJ
Type:Article
Language:English
Year of first Publication:2017
Publishing Institution:Universität Augsburg
Release Date:2020/03/10
First Page:3467
Last Page:3474
DOI:https://doi.org/10.1109/ijcnn.2017.7966292
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht