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Theme Transformer: Symbolic Music Generation With Theme-Conditioned Transformer.

, , , , and . IEEE Trans. Multim., (2023)

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Classifying Leitmotifs in Recordings of Operas by Richard Wagner., , , , and . ISMIR, page 473-480. (2020)Learning Audio Representations for Cross-Version Retrieval of Western Classical Music (Lernen von Audiodarstellungen für die versionsübergreifende Suche westlicher klassischer Musik). University of Erlangen-Nuremberg, Germany, (2021)base-search.net (ftuniverlangen:oai:ub.uni-erlangen.de-opus:16777).Audio-visual speech synthesis using vision transformer-enhanced autoencoders with ensemble of loss functions., , , , and . Appl. Intell., 54 (6): 4507-4524 (March 2024)CTC-Based Learning of Chroma Features for Score-Audio Music Retrieval., and . IEEE ACM Trans. Audio Speech Lang. Process., (2021)Exploring Tonal-Dramatic Relationships in Richard Wagner's Ring Cycle, , and . Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR), page 642--648. Suzhou, China, (2017)Schubert Winterreise Dataset: A Multimodal Scenario for Music Analysis., , , , , , and . ACM Journal on Computing and Cultural Heritage, 14 (2): 25:1-25:18 (2021)Modeling and Estimating Local Tempo: A Case Study on Chopin's Mazurkas., , and . ISMIR, page 773-779. (2020)libfmp: A Python Package for Fundamentals of Music Processing., and . J. Open Source Softw., 6 (63): 3326 (2021)Evaluating Salience Representations for Cross-modal Retrieval of Western Classical Music Recordings., , and . ICASSP, page 331-335. IEEE, (2019)Versionsübergreifende Visualisierung harmonischer Verläufe: Eine Fallstudie zu Wagners Ring-Zyklus, , , , and . Proceedings of the Jahrestagung der Gesellschaft für Informatik (GI), page 205--217. Chemnitz, Germany, (2017)