Jazz Mapping offers a systematic framework for analyzing jazz improvisation techniques. This method classifies and structures solo components hierarchically based on their musical relevance, providing insights into the distinct musical lexicon utilized by various jazz artists and genres. Implemented for ease of use, our system provides an API interface backed by a PostgreSQL database that contains annotated data for each solo. This allows users to procure basic metrics and source solos from designated artists or eras. Further, our system facilitates detailed analysis of solos by highlighting inter-referential components within the performance, elucidating the structural and thematic nuances of jazz improvisation.
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