Abstract
Following four annual C@merata evaluations at MediaEval, in which natural language phrases about music must be mapped to passages in MusicXML scores, we have developed a representation which captures the meaning of a text about music as a JSON feature structure. We have written a system to convert any text to this repres entation, comprising 23 stages of pre-processing, followed by application of the SpaCy statistical dependency parser. We have applied the system to the C@merata test queries with accurate results. Our approach can capture extremely detailed information, as well as general musical ideas.
Original language | English |
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Pages | 1-2 |
Number of pages | 2 |
Publication status | Published - 2017 |
Event | ISMIR 2017: 18th International Society for Music Information Retrieval Conferences - Suzhou, China Duration: 23 Oct 2017 → 27 Oct 2017 Conference number: 18 |
Conference
Conference | ISMIR 2017 |
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Country/Territory | China |
City | Suzhou |
Period | 23/10/17 → 27/10/17 |