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Using Musical Information

Using Musical Information. Music 253/CS 275A 1B Stanford University. 1. Classifying Data Domains. Visual domain scores, parts Aural domain performances, recordings Logical domain analytical data sets Cognitive/perceptual domain how we hear/understand music.

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Using Musical Information

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  1. Using Musical Information Music 253/CS 275A 1B Stanford University

  2. 1. Classifying Data Domains • Visual domain • scores, parts • Auraldomain • performances, recordings • Logical domain • analytical data sets • Cognitive/perceptual domain • how we hear/understand music 2013 Eleanor Selfridge-Field

  3. 2. Granularity of information Data for interchange Data for classification Data for feature analysis Data for form analysis 2013 Eleanor Selfridge-Field

  4. 3. Information for comparison Entity: the US Identity #1: The atmospheric nitrogen map of the US Identity #2: The ground nitrogen map of the US Background=US Background=US 2013 Eleanor Selfridge-Field

  5. 4. Musical features of one note Violin 2013 Eleanor Selfridge-Field

  6. 4. Musical features of one note Cognitive filter to discover one note Violin 2013 Eleanor Selfridge-Field

  7. 4. Musical features of one note Contextual information (notation) clef pitch meter pitch timbre Violin double bar duration duration Contextual information (sound) 2013 Eleanor Selfridge-Field

  8. 5. Musical features by domain Articulation Dynamics, Gesture 2013 Eleanor Selfridge-Field

  9. 5. Domain conflicts (symbols vs sound) Articulation Dynamics, Gesture 2013 Eleanor Selfridge-Field

  10. 6. Data beyond time (Beyond MIDI #2) Time-stealing “durations” Arpeggios Grace notes (single, multiple) Staccatos 2013 Eleanor Selfridge-Field

  11. 7. Score organization Types 1a, 1b (Beyond MIDI #1) Score-major systems Part- major systems Page-traversal dilemmas 2013 Eleanor Selfridge-Field

  12. 7. Score organizationType 2 (Beyond MIDI #2) The “grand staff” The grand staff as a single instrument 2013 Eleanor Selfridge-Field

  13. 8. Sound features not in notation • Sound decay http://www.youtube.com/watch?v=WdGQulTuwiQ [from Stephen Malinowski’s Music Animation Machine] 2013 Eleanor Selfridge-Field

  14. 9. The GUIDONoteServer(ASCII input) Developed by Holger Hoos et al at the Fraunhofer Institut, Darmstadt, 2000-04] 3. Stored data 2. Symbol 1. Sound http://www.noteserver.org/ Find method for entering: pitch, inflection, octave 2013 Eleanor Selfridge-Field

  15. Guido: input Feature definition and grouping Data representation stored "FrereJacques" Note duration Note prolongation Octave number Pitch inflection Pitch (key no.) 48 60 72 2013 Eleanor Selfridge-Field

  16. Guido: input Feature definition and grouping Data representation stored "FrereJacques" Note duration Note prolongation Octave number Pitch inflection Pitch (key no.) 48 60 72 2013 Eleanor Selfridge-Field MIDI “pitch” anchor

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