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A Model of Metric Coherence Anja Volk University of Southern California Integrated Media Systems Center.

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Presentation on theme: "A Model of Metric Coherence Anja Volk University of Southern California Integrated Media Systems Center."— Presentation transcript:

1 A Model of Metric Coherence Anja Volk University of Southern California Integrated Media Systems Center

2 n Inner Metric Analysis u Metric weight, Metric Coherence

3 n Further developments u JMetro,Spectral weight n Inner Metric Analysis u Metric weight, Metric Coherence

4 n Further developments u JMetro,Spectral weight n Listening Tests n Inner Metric Analysis u Metric weight, Metric Coherence

5 I define the meter of a work as the union of all layers of motion (i.e., series of regularly recurring pulses) active within it. Harald Krebs … the importance of pitch structure, specifically of change in the harmonic or melodic domain, in the formation of layers; new-event accents are among the most frequent producers of layers of motion Dynamic accent, placement of long durations among short ones (agogic or durational accents), thickly textured events among more thinly textured ones (density accents),…, by registral high and low points (registral accents), by the affixing of an ornament to a note…

6 Model of Inner Metric Analysis Metric and Spectral weight RUBATO ®, JMetro

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8 start period length

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12 Inner metric structure Outer metric structure

13 Inner metric structure Outer metric structure

14 Symphony C Major K. 551 1. Movement (4/4) Wolfgang A. Mozart Excerpt from Metric weight W 2,2 of the exposition (bars 1-55)

15 Adieu sweet Amarillis (4/4) John Wilbye W 2,2

16 Tanzen und Springen (3/4) Hans Leo Haßler W 2,2

17 3. Symphony, 1. movement (6/4) Johannes Brahms Excerpt from Metric weight W 2,2 of the exposition (bars 1-36)

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19 2. Symphony, 1. movement Johannes Brahms W 2,2

20 B Minor Mass Pleni sunt coeli (3/8) Johann Sebastian Bach

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22 Metric Coherence correspondence between inner and outer metric structure presupposition:occurrence of regularity (weight layers corresponding to specific periods) a metric subscale of outer metric hierarchy significant in the inner metric weight phase-coincidence, phase-displacement

23 Guillaume Dufay Mass: Se la face ay pale Kyrie II, Soprano

24 Welltempered Clavier Johann Sebastian Bach

25 Welltempered Clavier Johann Sebastian Bach Bass All voices

26 Welltempered Clavier Johann Sebastian Bach

27 Welltempered Clavier Johann Sebastian Bach

28 Welltempered Clavier Johann Sebastian Bach Spectral Weight of the Bass (Excerpt) Spectral Weight of the all 3 Voices(Excerpt)

29 3rd Symphony (Rhenish Symphony) Robert Schumann

30 3rd Symphony (Rhenish Symphony) Robert Schumann „where subsurface melodic progression occurs at a regular rate; a rising arpeggiation of the tonic triad is succeeded by a descending stepwise line, each pitch of both the rising and the falling gesture occupying twelve eighth-note pulses“ Harald Krebs (Fantasy Pieces)

31 First Violins: Analysis of the Exposition: (3/4) Excerpt 3rd Symphony (Rhenish Symphony) Robert Schumann Analysis of bars 1-20

32 3rd Symphony (Rhenish Symphony) Robert Schumann First Violins: Analysis of the Exposition: (3/2) Excerpt Analysis of bars 1-20 (4/4)

33 Sarabande Suite d-Minor Georg Friedrich Händel

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37 l=2, p=4

38 n Further developments u JMetro,Spectral weight n Inner Metric Analysis u Metric weight, Metric Coherence

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40 3rd Symphony (Rhenish Symphony) Robert Schumann Analysis of bars 1-20 Spectral weight of the theme: Bars 1-20

41 3rd Symphony (Rhenish Symphony) Robert Schumann Analysis of bars 1-20 (4/4) Spectral weight of the theme, interpreted as 4/4

42 Spectral weight of the theme WITHOUT local meters of period 1/2

43 Spectral weight of First Violins of the exposition (3/2) Spectral weight WITHOUT local meters of period of 1/2 Analysis of the Exposition Spectral weight of First Violins of the exposition (excerpt)

44 Bach, WTK I Fugue 4 Metric Weight of the Bass Voice (Excerpt) Spectral Weight of the Bass Voice (Excerpt)

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46 Haydn Presto from Sonata Hoboken XVI: 24

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50 Spectral weight of measures 1-40 Metric weight of measures 1-40

51 Spectral weight WITHOUT local meters of period 4 and multiples Spectral weight WITHOUT local meters of period 3 and multiples

52 Spectral weight of the left hand Spectral weight of the right hand (interpreted as 4/4)

53 Paul Desain/Henkjan Honing: Computational Models of Beat Induction: The Rule-Based Approach 105 National Anthems: Rhythm of the Melody Argentina Sudan India For the set of national anthems, a correct beat can be defined as a beat that is compatible with the meter notated in the score. For short patterns that form the beginning of more than one anthem we counted a beat as correct whenever it fitted the meter of one of those anthems. Result: Longuet-Higgins/Lee: 60% correct

54 Spectral weights: 63% l=2, p=2 l=2, p=4 4/4

55 Spectral weights: 19 % Spectral weights distinguish even/odd: 82% Spectral weights: 17 % 4/4

56 How about pitch? One aspect of this problem is that at any given timepoint, accents may arise in many simultaneously varying musical dimensions, and it is unclear how to sum the contributions from all these dimensions. Roeder 1995

57 David Lewin On Harmony and Meter in Brahms‘s Op.76, No.8

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59 J. Snyder & C. Krumhansl: Tapping to Ragtime - Cues to Pulse Finding Computational and experimental models are timebased!

60 Lily S: Both Hands S: Right Hand S: Left Hand Pineapple S: Both Hands S: Right Hand S: Left Hand Chrysanthemum S: Both Hands S: Right Hand S: Left Hand J. Snyder & C. Krumhansl: Tapping to Ragtime - Cues to Pulse Finding

61 Blue Goose S: Both Hands S: Right Hand S: Left Hand

62 American Beauty S: Both Hands S: Right Hand S: Left Hand Sensations S: Both Hands S: Right Hand S: Left Hand Glad Cat S: Both Hands S: Right Hand S: Left Hand

63 Joseph P. Swain: Harmonic Rhythm

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65 Il Pompeo „O cessate di piagarmi“ Alessandro Scarlatti

66 2. Symphony, 3. movement Johannes Brahms Bars 33-106: 2/4

67 n Further developments u JMetro,Spectral weight n Listening Tests n Inner Metric Analysis u Metric weight, Metric Coherence

68 score performance analysis RUBATO

69 n Metric weights Performance u Do metric weights with a high degree of coherence produce performances where the interpretation is more „clearly“structured? Empirical Experiment

70 Metric weights of different degree of coherence of the same piece Last measures of the altus of Gratias: Analysis of the whole piece Analysis of the part Beginning of Credo, all voices: Analysis of the whole piece for all voices Analysis of the whole piece for separate voices

71 Credo: single voices

72 Credo: all voices

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79 Mystic Circles of the Young Girls

80 The Rite of Spring Igor Stravinsky


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