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Symbolic Musical Analysis

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Presentation on theme: "Symbolic Musical Analysis"— Presentation transcript:

1 Symbolic Musical Analysis
CS 275B/Music 254

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Practicalities 2013 Eleanor Selfridge-Field CS 275B

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Course context Music 253 Symbolic Musical Data How to encode musical data sets (scores) Music 254 Symbolic Music Analysis (Music Query, Analysis, and Style Simulation) How to decode musical data sets Query = data extraction Analysis = data evaluation Style simulation = data assessment and manipulation 2013 Eleanor Selfridge-Field CS 275B

4 Elements of the course Project part: (a) literature survey Samples:
Query: Themefinder (melody) Analysis: Humdrum (harmony, rhythm, melody) Style simulation: Humdrum (involves integration of other operations) Project part: (a) literature survey (b) tool development (3) presentation and write-up 2013 Eleanor Selfridge-Field CS 275B

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Topic schedule Musical topics: Week 2 Melody; data sources; similarity Week 3 Harmony; current work Week 4 Rhythm; current work Methodological topics (vary from year to year): Week 5 Week 6 Week 7 Week 8 2013 Eleanor Selfridge-Field CS 275B

6 Contexts and resources
2013 Eleanor Selfridge-Field CS 275B

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CS 275A: Symbolic Musical Information 2013 Eleanor Selfridge-Field CS 275B

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CS 275B: Symbolic Musical Analysis 2013 Eleanor Selfridge-Field CS 275B

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Data resources Monophonic only Essen database (folk music) Themefinder repertories Polyphonic KernScores MuseData 2013 Eleanor Selfridge-Field CS 275B

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Query (Retrieval) 2013 Eleanor Selfridge-Field CS 275B

11 Music search Meta-data vs Semantic searching
Generic objects Specific objects fruit jars cloths peaches vase apricot Ambiguities Intermediation Basic colors Specific colors blue green white teal (blue) forest (green) off-white Categories Gradations 2013 Eleanor Selfridge-Field CS 275B

12 Major areas of music analysis
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13 Feature extraction and analysis
Articulation, dynamics Voices, textures From the work of Steven Malinowski Tonal relations Off the grid 2013 Eleanor Selfridge-Field CS 275B

14 Musical style (analysis)
Score-based: conventional Performance-based: event-based, comparative analyses Score-based: Schenkerian (graphical) 2013 Eleanor Selfridge-Field CS 275B

15 Musical style (simulation)
Work of David Cope (UCSC) 2013 Eleanor Selfridge-Field CS 275B

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Data interchange CS 275A MusicXML MEI (in progress) MIDI (common default) CS 275B (if relevant) (Data supply) 2013 Eleanor Selfridge-Field CS 275B

17 Other possible areas of study
Procedural analysis Structural analysis Style/feature clusters Methods from other disciplines Linguistics Mathematics Psychology/cognition Information theory New representations Non-Western music Pre-tonal music Post-tonal music Audio/symbolic linking 2013 Eleanor Selfridge-Field CS 275B


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