Abstract
Abstract This article delves into the integration of deep learning and medieval musicology. The article explores the use of deep learning in analyzing and transcribing medieval music manuscripts, offering insights into historical musical styles and compositions. It addresses the challenges and opportunities of applying AI in medieval musicology, and provides a critical analysis of deep learning’s potential in enhancing our understanding of medieval music heritage. The discussion encompasses the study of medieval music and its cultural context, emphasizing the significance of manuscripts, treatises and iconography in musicological research. The integration of digital humanities and computational advancements in medieval musicology is highlighted, revealing how technological progress has been incorporated systematically into the study of complex cultural objects.
Published Version
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