Musical Similarity: More perspectives and compound techniques CS 275B/Music 254.

Slides:



Advertisements
Similar presentations
Music – Gr 3-4 The basics.
Advertisements

Humdrum - Introduction What is Humdrum? A set of general-purpose music software tools, but free Encode, manipulate, and output a wide variety of musically-pertinent.
Chapter 7.  The composer must decide what he or she wants to say and the best musical means to express it.  The Elements: the basic building blocks.
Piano Concerto no 23 in A Major
Chapter 4 How Music Works Part II: Pitch.
Rhythm and Time Two ways of viewing time Time as an endless stream, continuously flowing Heraclitus: “Time is a river into which we can never step into.
Melodic Similarity CS 275B/Music 254. "Natural history" of similarity  Concept of similarity fundamental to organization of most art music  Types of.
Why Do Skips Precede Reversals? The Effect of Tessitura On Melodic Structure by Paul von Hippel & David Huron - Presented by Kevin (Cheng) Zhu.
Classical Music Higher Music.
Music Pure art form: freedom from physical restrictions of space applied to other arts Responsibility of the listener: we have only the moment to capture.
Music Notation A Brief History.
Schenker’s Concept(s) of Melody. 1. The Tonic Triad as Matrix Notes of the tonic triad are the most stable and form a compositional grid/matrix. Others.
Meters Simple meter: Simple meter: Duple, Triple, Quadruple Compound meters: Compound meters: Sextuple = Compound Duple Sextuple = Compound Duple 6 beats.
Piano Concerto no 23 in A Major
The Nuts & Bolts of Music
JSymbolic and ELVIS Cory McKay Marianopolis College Montreal, Canada.
Introduction of Humdrum Music 253/CS 275A Stanford University.
CLASSICAL MUSIC APPRECIATION ~ I love music but I don’t understand it at all ~
‘EINE KLEINE NACHTMUSIK’
A Time Based Approach to Musical Pattern Discovery in Polyphonic Music Tamar Berman Graduate School of Library and Information Science University of Illinois.
Introduction to algorithmic models of music cognition David Meredith Aalborg University.
Musical Expectancy Definition of expectancy
MUSIC THROUGH THE AGES. MEDIEVAL MUSIC ( ) Church Music (Religious) Church Music (Religious) PLAINCHANT/SONG – Single line melody sung in latin.
Search-Effectiveness Measures for Symbolic Music Queries in Very Large Databases Craig Stuart Sapp Yi-Wen Liu
JSymbolic Cedar Wingate MUMT 621 Professor Ichiro Fujinaga 22 October 2009.
1 Melodic Similarity MUMT 611, March 2005 Assignment 4 Paul Kolesnik.
Classicism vs. Romanticism Olivia Hyun Lim Mozart’s Worlds Summer 2006 NEH Institute for Teachers.
Melodic Features and Retrieval ISMIR Graduate School, Barcelona 2004 Musicology 3-4 Frans Wiering, ICS, Utrecht University.
Aspects of Rhythm and Meter Music 254. Regularity vs Irregularity  Meter  Ordinary meters as notated  Ordinary meters as sounded/heard  Unmeasured.
"The Elements of Music" An Introduction. The Elements of Music.
Music. 3 main parts of the course Listening, Composing Performing.
Melodic Search: Strategies and Formats CS 275B/Music 254.
For use with WJEC Performing Arts GCSE Unit 1 and Unit 3 Task 1 Music Technology Creativity in composing.
Development: bars The music is based on the opening figure of the first subject The music is based on the opening figure of the first subject.
Symbolic Musical Analysis CS 275B/Music 254. Practicalities CS 275B2013 Eleanor Selfridge-Field2.
MUSICAL ELEMENTS Melody, Harmony, Tonality, & Rhythm.
1 Explorations in Music, The Arts, and Ideas- “ On the Relationship of Analytical Theory to Performance and Interpretation ” Eugene Narmour – University.
Using Musical Information Music 253/CS 275A 1B Stanford University.
Melodic Similarity Presenter: Greg Eustace. Overview Defining melody Introduction to melodic similarity and its applications Choosing the level of representation.
LC Mozart Test You are about to answer 30 questions about the vocabulary you need to know for the LEAVING CERT EXAM. You will see a key word or a definition.
Acoustic Illusions & Sound Segregation Reading Assignments for Quizette 3 Chapters 10 & 11.
Using Transportation Distances for Measuring Melodic Similarity Pichaya Tappayuthpijarn Qiang Wang.
The Elements of Music “Student Selected Piece of Music”
Signatures and Earmarks: Computer Recognition of Patterns in Music By David Cope Presented by Andy Lee.
Music 254 Stanford University Eleanor Selfridge-Field2  Details of individual selections  Seek precise match (Themefinder)  Features in-the-round.
Mid Term Jeopardy $100 Note Reading RhythmVocabulary Playing Piano Scales & Key Signatures $200 $300 $400 $500 $400 $300 $200 $100 $500 $400 $300 $200.
Rachel Gu. Wolfgang Amadeus Mozart Born in: 1756, Jan 27 th. Mozart showed talent since he was young. He mastered keyboard.
Symbolic Musical Analysis CS 275B/Music 254. Practicalities CS 275B2016 Eleanor Selfridge-Field2.
Tippett - Concerto for Double String Orchestra movement I (Harmony) By Luke Everard.
Elements of Music. Melody Single line of notes heard in succession as unit Phrases Cadences—Points of arrival/rest Conjunct vs. disjunct motion Contour:
Classical Music = ??? Active but often “nameless” period – sometimes known as “Pre-Classical” or GALLANT STYLE or Rococo C.P.E. Bach.
Chapter 13: Other Classical Genres The Sonata. Key Terms Sonata Piano sonata Violin sonata Sonata movement plan.
Harmonic Models CS 275B/Music 254.
Aspects of Rhythm and Meter Music 254. Regularity vs Irregularity  Meter  Ordinary meters as notated  Ordinary meters as sounded/heard  Unmeasured.
Musical Similarity: More perspectives and compound techniques
Unit 1: Basic Concepts Review
Musical Information 1B Music 253/CS 275A Stanford University
Music’s Horizontal Dimension:
Beginner Music Theory.
Music’s Horizontal Dimension:
In the Classical period and beyond
Codes for data archiving, interchange, and analysis
MUMT 611, March 2005 Assignment 4 Paul Kolesnik
Craig Stuart Sapp Yi-Wen Liu Eleanor Selfridge-Field ISMIR 2004
Analytical uses of Humdrum Tools
Symbolic Musical Analysis
Theories of meter, rhythm, and form
Melodic Similarity CS 275B/Music 254.
An Introduction to Music–Melody –Harmony –Rhythm.
Chord Recognition with Application in Melodic Similarity
Presentation transcript:

Musical Similarity: More perspectives and compound techniques CS 275B/Music 254

Musical similarity  Similarity studies in general  Reductionist approachs  Social cognition  Timbral confounds  Compound search techniques  Cognitive distance metrics  Affective similarity 2013 Eleanor Selfridge-Field 2

Timbral confounds 2013 Eleanor Selfridge-Field 3

Reductionist approaches: melodic simplification 2013 Eleanor Selfridge-Field 4 Target: 3452 (Vertical)

Time-span reduction 2013 Eleanor Selfridge-Field 5 German folksong Substitution of one pitch for each bar Work of Helmut Schaffrath and pupils (Essen) cf.

Time-span reduction 2013 Eleanor Selfridge-Field 6 German folksong Substitution of one pitch for each bar Work of Helmut Schaffrath and pupils (Essen) cf. Lerdahl-Jackendoff approach more nuanced

Social cognition 2013 Eleanor Selfridge-Field7 Morris tune Danny Boy The Folìa

Social cognition, cont Eleanor Selfridge-Field 8 A, B = title-driven C, D, E = content-driven

Joint-accent structure: Mari Riess Jones 2013 Eleanor Selfridge-Field 9 Perception, cognition (Ohio State U.)

Co-ordinated pitch/duration similarity 2013 Eleanor Selfridge-Field 10 Manfred Leppig (German mathematician)

Leppig vs Riess Jones 2013 Eleanor Selfridge-Field 11 Mari Riess Jones (OSU) Manfred Leppig (1987) 1: : D: mathematics psychology

Pitch-time space: interval reductions 2013 Eleanor Selfridge-Field 12 Suk Won Yi, UCLA, (1992) Interval Duration Coefficient of Melodic Activity Pitch Duration

Pitch-time space: Lerdahl, Krumhansl (2007) 2013 Eleanor Selfridge-Field13 Tension attraction Values projected vs values judged

Prototypical (elusive) melodies 2013 Eleanor Selfridge-Field 14 Hypothetical melody: Mozart Piano Sonata in G Major Actualities Possible reductions

Narmour: Theory of Melody (and melodic implication) 2013 Eleanor Selfridge-Field 15 If interval < fourth stepwise departure likely If interval  fourth directional change likely Cf. Themefinder refined contour search

Transportation distance  Wiering, Typke et al. (2005):  Earth Mover’s Distance 2013 Eleanor Selfridge-Field 16 EMD: S. Cohen et al., SU Robotics, 1999 Joint pitch and duration metric

Affective similarity Performing medium Genre contrastClassical titleOther title PianoClassical- contemporary Rachmaninov: Moment Musical Op 16, No. 2 Ligeti: Concerto for Piano and Orchestra PianoClassical-jazzSchumann: Kreisleriana Op 16, No. 5Gershwin: “I loves you, Porgy” (Porgy and Bess) OrchestralClassical-jazzProkofiev: Symphonie Op 100, No. 5, movement 1 Gershwin: Porgy and Bess OrchestralClassical-popBeethoven: Romance for Violin and Orchestra Op 50, No. 2 Beatles: “Eleanor Rigby” Classical-musicalBeethoven: Romance for Violin and Orchestra Op 50, No. 2 Nacio Herb Brown: “Singin‘ in the Rain” 2013 Eleanor Selfridge-Field 17 Table 2. Anomalous listener-defined similarities among works of different genres in the Aucouturier-Pachet research.

Cognitive distance metric (1) 1. Basic Pitch-Accent StructureRange = 0-4 A.If meter matches targetMax = 1.00 andIf subunit (e.g. quarter note) is the sameScore = 1.00 orIf subunit is different (e.g., 4/8 vs. 2/4)Score = 0.50 ElseScore = 0.00 B. Percentage of matched pitches on primary beats*Max = 2.00 If matching number of scale degrees=100%Score = 2.00 orIf matching number of scale degrees =>90%Score = 1.33 orIf matched number of notes/unit =>80% Score=0.67 Score = 0.67 ElseScore = 0.00 C. Percentage of matched pitches on secondary beatsMax = 1.00 If matching number of scale degrees=100%Score = 1.00 orIf matching number of scale degrees=>90%Score = 0.67 orIf matched number of notes/unit =>80% Score=0.33 Score = 0.33 ElseScore = Eleanor Selfridge-Field 18

Cognitive distance metric (2) II. Basic Harmonic-Accent StructureRange = 0-6 A. Mode of work (major, minor, other)Max = 1.00 If modes matchScore = 1.00 ElseScore = 0.00 B. Percentage of matched chords on downbeat**Max = 2.50 If unambiguous matches on primary beats =>90%Score = 2.50 orIf unambiguous matches on primary beats =>80%Score = 2.00 orIf unambiguous matches on primary beat =>70%Score = 1.50 ElseScore = 0.00 C. Percentage of matched chords on secondary beats**Max = 2.00 If unambiguous matches =>90%Score = 2.00 orIf unambiguous matches =>80%Score = 1.50 orIf unambiguous matches =>70%Score = 1.00 ElseScore = 0.00 D. Percentage of matched chords on tertiary beatsMax = 0.50 If unambiguous matches =>90%Score = 0.50 ElseScore = Eleanor Selfridge-Field 19

Cognitive distance metric (3) ExamplePitch-Accent scoreHarmony-Accent scoreTotal score (additive) RawRankedRawRankedRawRanked 2a b c d e f g h i j k Eleanor Selfridge-Field 20

Evaluating search viability and efficiency  Krumhansl, 2000 [theoretical]  Sapp, Liu, Selfridge-Field, 2004 [practical] 2013 Eleanor Selfridge-Field 21

Sapp, Liu, Selfridge-Field (ISMIR 2004) 2013 Eleanor Selfridge-Field 22 Data Search Effectiveness (1)

Search Effectiveness (2) 2013 Eleanor Selfridge-Field 23 Pitch features Meter features

Search Effectivesness (3) 2013 Eleanor Selfridge-Field 24 Sample search Coupled search

Results 2013 Eleanor Selfridge-Field 25