Using Musical Information:Query, Analysis, and Style Simulation

Mus 254/CS 275B/SSP 253b

Stanford University

Spring Quarter

Sound (MIDI)

Data interchange

Musical dataas IP

Logical data(kern)

Notation(Finale, SCORE)

Musical data

Music 253/CS 275A: Musical Data—Structure and Contents

3

Musicalstyle

Datainterchange

Musical dataas IP

Proceduralanalysis

Query/retrieval

Dataanalysis

Mus 254/CS 275B: Musical Data—Applications

4

Data = symbolic code

Why? Secure Scalable

What? Humdrum Toolkit **kern representation

(CMN)

5

1. Query: Approaches

Query sound

(commercial)

Query meta-data

(bibliographical)

Query "meaning"

(structural)

6

Query: Data types

Query by sound

(commercial)

Query by symbol

(bibliographical)

Query by "meaning"

(analytical)

Sound data

Text data

Semantic data

7

Query: Symbolic approach

Query sound

(commercial)

Query meta-data

(bibliographical)

Query "meaning"

(structural)Query symbolic code

8

Query: Sample applications

Query by sound

(Meldex)

Query by symbol

(Themefinder)

Query by "meaning"

(if ≠ metadata…)

Sound data

Symbolic data

Semantic data

9

Meta-data vs Semantic searching…

• fruit

• jars

• cloths

• peaches

• vase

• apricot

• blue

• green

• white

• teal (blue)

• forest (green)

• off-whiteCategories Gradations

Generic objects Specific objects

Basic colors Specific colors

Ambiguities

10

2. Musical Style/3. Procedure

• Traditional studies• Harmony• Counterpoint• Thematic form• Melodic process• Listening

• How?• Observation, selection• Observation, generation• Observation (schematic)• Observation, trial/error• Real-time perception

11

Style analysis: Extrapolation/Reduction

12

Style analysis: Data types

Analyze sound

Analyze symbols

Analyze semanticsSound data

Symbolic data

Semantic data

13

Style analysis

• Corollaries:• Test analyses ("generate and test")• Explore human perception/recognition skills

• Application areas:• Analysis facilitation (Andreas Kornstaedt)• Style evaluation (Yi-Wen Liu)• Style replication (David Cope)• Non-Western music (Parag Chordia, Sachiko

Deguchi, Craig Sapp)

14

Style Simulation: Procedure

Sound data

Symbolic data

Semantic data

Create grammar

Create MIDI data

Parse and store

EMI data

Search EMI data

Generate new work…

15

EMI's First Brandenburg

16

4. Data Acquisition/Interchange

Optical recognition Preprocessing for query Database development, management Interchange standards (XML) Applications:

OMR: Walter Hewlett Preprocessing: Themefinder MusicXML: Michael Good

17

5. Musical data as IP

Defining content Methods of fixing data Methods of identifying owner

Content/fixed form (Eleanor) Watermarking (Yi-Wen)

18

6. Data presentation

Craig Sapp: Keyscapes

Schubert: Piano Variations

19

Possible Speakers

13 April Frauke Jorgenson (UC Davis)

19 April Petr Janata

(neuroscience and music: CSLI)

27 April Craig Sapp (RHC, London)

Late May Christian Romming