Author of the publication

Schubert Winterreise Dataset: A Multimodal Scenario for Music Analysis

, , , , , , and . ACM Journal on Computing and Cultural Heritage (JOCCH), 14 (2): 25:1--18 (2021)
DOI: 10.1145/3429743

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

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).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)libfmp: A Python Package for Fundamentals of Music Processing., and . J. Open Source Softw., 6 (63): 3326 (2021)CTC-Based Learning of Chroma Features for Score-Audio Music Retrieval., and . IEEE ACM Trans. Audio Speech Lang. Process., (2021)Modeling and Estimating Local Tempo: A Case Study on Chopin's Mazurkas., , and . ISMIR, page 773-779. (2020)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)A Multi-Version Approach for Transferring Measure Annotations Between Music Recordings, , , , and . Proceedings of the AES International Conference on Semantic Audio, page 148--155. Erlangen, Germany, (2017)MTD: A Multimodal Dataset of Musical Themes for MIR Research., , , and . Trans. Int. Soc. Music. Inf. Retr., 3 (1): 180-192 (2020)