A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is
Lecture Notes in Computer Science
Computational approaches that conform to the cultural context are of paramount importance in music information research. The current state-of-theart has a limited view of such context, which manifests in our ontologies, data-, cognition-and interaction-models that are biased to the market-driven popular music. In a step towards addressing this, the thesis draws upon multimodal data sources concerning art music traditions, extracting culturally relevant and musically meaningful information aboutdoi:10.1007/978-3-319-17966-7_30 fatcat:jk5w2tfnsbbizmshuyuo5r5yge