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Exploring Musical Information: Essence, Representation, and Software Applications

This work by Eleanor Selfridge-Field delves into the fundamental essence of music, exploring sound, text, act, and mental imagery. It discusses various representations of music, including how sound qualities are parameterized, scores symbolically represented, and gestures captured. The paper also highlights software domains related to musical information management, such as MIDI, Sibelius, and data analysis tools. Additionally, it examines the frontiers of musical information regarding data development, management, and visualization, emphasizing the distinction between raw and interpreted data in music.

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Exploring Musical Information: Essence, Representation, and Software Applications

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  1. What is musical information? Music 253/CS 275A Topic 1A Stanford University

  2. What is the basic essence of music? • Sound • Text • Act • Mental image 2009 Eleanor Selfridge-Field

  3. What is music representation? • Sound: parameterization of sound qualities • Text: symbolic representation of scores • Act: symbolic representation of gestures • Mental image: rules, hierarchies, principles 2009 Eleanor Selfridge-Field

  4. Software domains for musical-information management • Sound-based: MIDI (sequencer du jour) • Text-based: Guido, Finale, SCORE, Sibelius, abcm • Analysis-oriented: Humdrum Toolkit • Data and Data Interchange: MuseData, Plaine&Easie, MusicXML, MEI 2009 Eleanor Selfridge-Field

  5. Frontiers of musical information • Data resource development • Data management and identification • Data interchange • Data query and analysis • Datavisualization Data Hardware Software 2009 Eleanor Selfridge-Field

  6. Absolute vs. relative machine-oriented MIDI key nos. user-oriented Intervallic information Complete vs. selective Selection by domain Selection by reduction Selective understandings of music 2009 Eleanor Selfridge-Field

  7. Raw vs. interpreted data When interpreted? On input In processing Common vs. application-specific data Data attributes Application attributes Selective understandings . . . . 2009 Eleanor Selfridge-Field

  8. No symbolic data-content: "Pure" graphics "Pure" sound Sign vs. sound: Domain-specific attributes Musical information confounds Sound “Logical work” Notation 2009 Eleanor Selfridge-Field

  9. The Guidonian hand (mnemonics) Mnemonic devices (c. 1000 AD) Giordano Bruno (1582) 2009 Eleanor Selfridge-Field

  10. Piano rolls as music representations J. S. Bach: Chorale No. 1 Chopin: Prelude 2009 Eleanor Selfridge-Field

  11. The Music Animation Machine 2009 Eleanor Selfridge-Field

  12. Harmonic representation schemes J. S. Bach: Prelude in D Major, Fugue in D Minor [work of Craig Sapp] 2009 Eleanor Selfridge-Field

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