inferring tonality from note distributions: why models matter · 2019. 7. 19. ·...

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Inferring Tonality from Note Distributions: Why Models Matter Fabian C. Moss and Martin Rohrmeier Digital and Cognitive Musicology Lab, École Polytechnique Fédérale de Lausanne Background Stascs of pitch classes (PCs) in musical pieces correspond to cognive representaons of tonality [1, 4, 5, 6] and are assumed to con- stute the foundaon of stascal learning. Model 1: Circle of Fifths Reordering PCs by x 77x mod 12 and arrang- ing them on the circle of fiſths emphasizes dif- ferences and similaries of the major and the minor mode [4]. In parcular, the relaon between in- and out- of-scale notes becomes apparent, as well as the discrepancies between PCs 3 and 10 (minor) vs. PCs 4 and 11 (major). Model 2: Line of Fifths Using spelled PCs enables the disncon be- tween enharmonically equivalent notes that is not possible when using only 12 PCs. Moreover, comparing pieces across different me periods indicates a trend towards expan- sion of the tonal material (see "Historical De- velopment") and a transion from diatonicism to chromacism and enharmonicism [3]. Conclusion Both psychological as well as theorecal re- search on tonality is crucially affected by the of- ten implicit or unconscious assumpons about underlying tonal spaces. Making these as- sumpons explicit acknowledges modeling as an integral part of study design. Incorporang music-theorecal knowledge about the struc- ture of tonal spaces furthermore allows to apply more apt models for the research on the history of tonality as well as its cognive representa- ons. References [1] J. Albrecht and D. Shanahan. “The Use of Large Corpora to Train a New Type of Key-Finding Algorithm: An Improved Treatment of the Minor Mode”. In: Music Percepon: An Interdisciplinary Journal 31.1 (2013), pp. 59–67. [2] R. Cohn. Audacious Euphony: Chromac Harmony and the Triad's Second Na- ture. Oxford: Oxford University Press, 2012. [3] Z. Gárdonyi and H. Nordhoff. Harmonik. Wolfenbüel: MöselerVerlag, 2002. [4] D. Harasim, F. C. Moss, M. Ramirez, and M. Rohrmeier. “Cognive modeling reveals history of major and minor in Western classical music”. Submied. [5] C. L. Krumhansl and E. J. Kessler. “Tracing the dynamic changes in perceived tonal organizaon in a spaal representaon of musical keys.”. In: Psycholog- ical Review 89.4 (1982), pp. 334–368. [6] D. Temperley. The Cognion of Basic Musical Structures. Cambridge, MA: MIT Press, 2001. Model 3: Tonnetz The expansion of tonal material entails also an increase in medianc relaons. Consequently, the usage of PCs diachronically spreads out in both the fiſth and the third dimensions of the Tonnetz [2]. Acknowledgements & Contact This research is gen- erously supported by the Latour Chair in Digital and Cognive Musicology at EPFL. @fabianmoss | fabian.moss@epfl.ch Historical Development 1340–1942

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Page 1: Inferring Tonality from Note Distributions: Why Models Matter · 2019. 7. 19. · InferringTonalityfromNoteDistributions: WhyModelsMatter FabianC.MossandMartinRohrmeier DigitalandCognitiveMusicologyLab,ÉcolePolytechniqueFédéraledeLausanne

Inferring Tonality from Note Distributions:

WhyModels MatterFabian C. Moss and Martin Rohrmeier

Digital and Cognitive Musicology Lab, École Polytechnique Fédérale de Lausanne

Background

Statistics of pitch classes (PCs) in musical

pieces correspond to cognitive representations

of tonality [1, 4, 5, 6] and are assumed to con-

stitute the foundation of statistical learning.

Model 1: Circle of Fifths

Reordering PCs by x 7→ 7x mod 12 and arrang-ing them on the circle of fifths emphasizes dif-

ferences and similarities of the major and the

minor mode [4].

In particular, the relation between in- and out-

of-scale notes becomes apparent, as well as the

discrepancies between PCs 3 and 10 (minor) vs.

PCs 4 and 11 (major).

Model 2: Line of Fifths

Using spelled PCs enables the distinction be-

tween enharmonically equivalent notes that is

not possible when using only 12 PCs.

Moreover, comparing pieces across different

time periods indicates a trend towards expan-

sion of the tonal material (see "Historical De-

velopment") and a transition from diatonicism

to chromaticism and enharmonicism [3].

Conclusion

Both psychological as well as theoretical re-

search on tonality is crucially affected by the of-

ten implicit or unconscious assumptions about

underlying tonal spaces. Making these as-

sumptions explicit acknowledges modeling as

an integral part of study design. Incorporating

music-theoretical knowledge about the struc-

ture of tonal spaces furthermore allows to apply

more apt models for the research on the history

of tonality as well as its cognitive representa-

tions.

References

[1] J. Albrecht and D. Shanahan. “The Use of Large Corpora to Train a NewType

of Key-Finding Algorithm: An Improved Treatment of the Minor Mode”. In:

Music Perception: An Interdisciplinary Journal 31.1 (2013), pp. 59–67.

[2] R. Cohn. Audacious Euphony: Chromatic Harmony and the Triad's Second Na-

ture. Oxford: Oxford University Press, 2012.

[3] Z. Gárdonyi andH. Nordhoff.Harmonik.Wolfenbüttel: MöselerVerlag, 2002.

[4] D. Harasim, F. C. Moss, M. Ramirez, and M. Rohrmeier. “Cognitive modeling

reveals history of major and minor in Western classical music”. Submitted.

[5] C. L. Krumhansl and E. J. Kessler. “Tracing the dynamic changes in perceived

tonal organization in a spatial representation of musical keys.”. In: Psycholog-

ical Review 89.4 (1982), pp. 334–368.

[6] D. Temperley. The Cognition of Basic Musical Structures. Cambridge, MA: MIT

Press, 2001.

Model 3: Tonnetz

The expansion of tonal material entails also an

increase in mediantic relations. Consequently,

the usage of PCs diachronically spreads out in

both the fifth and the third dimensions of the

Tonnetz [2].

Acknowledgements & Contact

This research is gen-

erously supported by

the Latour Chair in

Digital and Cognitive

Musicology at EPFL.

� @fabianmoss | � [email protected]

Historical Development 1340–1942