The Wind Repertory Project™ is a comprehensive database of wind literature, expanded by contributions of band directors/conductors, students, and wind band enthusiasts worldwide. Here you will find detailed information on literature for winds, including program notes, instrumentation, errata, and much more.
S. Hachmeier, R. Jäschke, und H. Saadatdoorabi. Proceedings of the Conference on ``Lernen, Wissen, Daten, Analysen'', 3341, Seite 213--226. Aachen, (2022)
C. Bauer, und J. Devaney. Mediale Stimmentwürfe: Perspectives of media voice designs, Volume 7 von Schriftenreihe zur digitalen Gesellschaft NRW, kopaed Verlag, Munich, Germany, (April 2022)
A. Correya, R. Hennequin, und M. Arcos. (2018)cite arxiv:1808.10351Comment: Music Information Retrieval, Cover Song Identification, Million Song Dataset, Natural Language Processing.
Y. Agrawal, R. Shanker, und V. Alluri. (2021)cite arxiv:2101.02051Comment: Appearing in Proceedings of the 43rd European Conference On Information Retrieval (ECIR) 2021.
J. Su, T. Hong, J. Li, und J. Su. Proceedings - 2018 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2018, (Dezember 2018)
A. Correya, R. Hennequin, und M. Arcos. (2018)cite arxiv:1808.10351Comment: Music Information Retrieval, Cover Song Identification, Million Song Dataset, Natural Language Processing.