Dig that lick: Analysing large-scale data for melodic patterns in jazz performances

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The recorded legacy of jazz spans a century and provides a vast corpus of data documentingits development. Recent advances in digital signal processing and data analysis technologiesenable automatic recognition of musical structures and their linkage through metadata tohistorical and social context. Automatic metadata extraction and aggregation give unprecedentedaccess to large collections, fostering new interdisciplinary research opportunities.This project aims to develop innovative technological and music-analytical methods to gainfresh insight into jazz history by bringing together renowned scholars and results from severalhigh-profile projects. Musicologists and computer scientists will together create a deeper andmore comprehensive understanding of jazz in its social and cultural context. We exemplify ourmethods via a full cycle of analysis of melodic patterns, or "licks", from audio recordings to anaesthetically contextualised and historically situated understanding.