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<xml><records><record><source-app name="Bibcite" version="8.x">Drupal-Bibcite</source-app><ref-type>27</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">David Weigl</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multimodal Music Information Alignment</style></title></titles><keywords/><dates><year><style face="normal" font="default" size="100%">2020</style></year></dates><urls><style face="normal" font="default" size="100%">https://trompamusic.eu/deliverables/TR-D3.5-Multimodal_Music_Information_Alignment_v2.pdf</style></urls><abstract><style face="normal" font="default" size="100%">The alignment of multimodal musical resources, for unified exploration, discovery, and retrieval, represents an important priority in enriching digital music archives. In this document, we provide a description of various types of information resource subject to potential alignment within TROMPA; detail a number of candidate algorithms to perform alignment activities; and present a data model that provides a framework for the application of alignment outcomes in TROMPA use cases. We also present a set of initial resources subject to proposed alignment in future development of this deliverable, comprising Beethoven piano compositions, and early Spanish choral works. &#13;
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