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EsAC and MuseData: Approaches for repurposing and interchange

EsAC and MuseData: Approaches for repurposing and interchange. Music 253/CS 275A Stanford University. Distinguishing features. Focus is on repurposable data , interoperability Examples Archiving : canonical format that facilitates interoperability

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EsAC and MuseData: Approaches for repurposing and interchange

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  1. EsAC and MuseData: Approaches for repurposing and interchange Music 253/CS 275A Stanford University

  2. Distinguishing features • Focus is on repurposable data, interoperability • Examples • Archiving: canonical format that facilitates interoperability • Interchange: canonical format that is easily interpreted by sending and receiving systems whose formats may be unknown • Analysis: flexible format that can be modified to suit a range of needs (can sometimes be distilled from richer format) 2013 Eleanor Selfridge-Field

  3. Distinguishing features • Neither time nor space is a dominant consideration • Environment may be extensive; focus on interoperability • Examples • Archiving: EsAC (monophonic), MuseData(polyphonic) • Interchange: MusicXML, MEI • Analysis: Humdrum Toolkit (main format = kern) 2013 Eleanor Selfridge-Field

  4. EsAC network model (1982-1994) Folk music research Mainly assigned to students Developed in Essen, DE, by Helmut Schaffrath from the Kiel/DVA archive and other sources esac-data.org Above: H. Schaffrath, L: Ewa Dahlig Often transcribed by hand Often simplified, No text underlay 2013 Eleanor Selfridge-Field

  5. EsAC code vs other codes http://esac-data.org/ Mozart trio (EsAC with 5 data translations http://kern.humdrum.org/search?s=t&keyword=essen&type=Text 2013 Eleanor Selfridge-Field

  6. EsAC: Essen Folksong Collection • Monophonic music (8500 songs) • Purposes • Archiving • Comparing versions • Teaching • Sound output • Contributions • Earliest model of analysis (Leppig, 1987) Pitch and duration uncoupled R: nearest matches for Mozart trio 2013 Eleanor Selfridge-Field

  7. MuseData: overview • Name of online repository • Name of encoding language • Developed by Walter Hewlett (from 1982) • Served by CCARH • Many implementations, extensions, refinements by Craig Sapp • Largest verified dataset online http://www.musedata.org 2013 Eleanor Selfridge-Field

  8. MuseData network models Classical music focus Full encodings MIDI only 2013 Eleanor Selfridge-Field

  9. Comparison of models 2013 Eleanor Selfridge-Field

  10. MuseData encodings (2012) c. 1250 works 2013 Eleanor Selfridge-Field

  11. Part/score orientation inMuseData 1. Encode voice by voice for full movement 2. Add lyrics, other refinements 3. Repeatuntil all movements are encode 4. Assemble score 2013 Eleanor Selfridge-Field

  12. MuseData: Conventional input files Input data (Stage 1) Enhanced data (Stage 2) Mozart trio: V1 2013 Eleanor Selfridge-Field

  13. MuseData: Turkish march chord Print suggestions Sound suggestions Print suggestion 2013 Eleanor Selfridge-Field

  14. Encoding in multiple domains: Actualities musedata.org 2013 Eleanor Selfridge-Field

  15. Encoding in multiple domains: samples From MIDI file list From PDF list 2013 Eleanor Selfridge-Field

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