Conceptual and Experiential Representations of Tempo: Effects on Expressive Performance Comparisons

Elaine Chew; Clifton Callender

doi:10.1007/978-3-642-39357-0_6

Conceptual and Experiential Representations of Tempo: Effects on Expressive Performance Comparisons

Elaine Chew^*, Clifton Callender

^*Corresponding author for this work

Florida State University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

6 Citations (Scopus)

27 Downloads (Pure)

Abstract

Tempo is an important parameter that is varied and analysed in music performance. We argue that it is important to consider both tempo and log(tempo) in score time as well as performance time in the analysis of performances; performance time mirrors listeners’ real time experience, and log(tempo) gauges proportional tempo changes. As demonstration, we revisit Chew’s (2012) score time tempo analysis of performances of Beethoven’s “Moonlight” Sonata, and generate new results using log(tempo) and performance time. We show that extreme differences in score time tempo are ameliorated by considering log(tempo) and performance time, that the performers employed similar log(tempo) ranges and phrase lengths (in performance time), and that long score time phrases do not necessarily map to lengthy performance time spans due to speedier phrase traversal times. The results suggest that log(tempo) range and maximum performance time phrase length may act as perceptual constraints on the shaping of a performance.

Original language	English
Title of host publication	Mathematics and Computation in Music
Subtitle of host publication	4th International Conference, MCM 2013, Montreal, Canada, June 12-14, 2013, Proceedings
Editors	J Just, J Wild, J A Burgoyne
Place of Publication	Berlin, Heidelberg
Publisher	Springer
Pages	76-87
Number of pages	12
Volume	7937
ISBN (Electronic)	978-3-642-39357-0
ISBN (Print)	978-3-642-39356-3
DOIs	https://doi.org/10.1007/978-3-642-39357-0_6
Publication status	Published - 2013
Event	Mathematics and Computation in Music - McGill University, Montreal, Canada Duration: 12 Jun 2013 → 14 Jun 2013 Conference number: 4 http://www.smcm-net.info/index.html

Publication series

Name	Lecture Notes in Artificial Intelligence
Publisher	Springer
Volume	7937
ISSN (Print)	2945-9133
ISSN (Electronic)	2945-9141

Conference

Conference	Mathematics and Computation in Music
Abbreviated title	MCM
Country/Territory	Canada
City	Montreal
Period	12/06/2013 → 14/06/2013
Internet address	http://www.smcm-net.info/index.html

Keywords

musical expression
music expressivity
musical prosody
tempo arc
segmentation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-642-39357-0_6

978-3-642-39357-0_6Final published version, 1.05 MB

Cite this

Chew, E., & Callender, C. (2013). Conceptual and Experiential Representations of Tempo: Effects on Expressive Performance Comparisons. In J. Just, J. Wild, & J. A. Burgoyne (Eds.), Mathematics and Computation in Music: 4th International Conference, MCM 2013, Montreal, Canada, June 12-14, 2013, Proceedings (Vol. 7937, pp. 76-87). (Lecture Notes in Artificial Intelligence; Vol. 7937). Springer. https://doi.org/10.1007/978-3-642-39357-0_6

Chew, Elaine ; Callender, Clifton. / Conceptual and Experiential Representations of Tempo: Effects on Expressive Performance Comparisons. Mathematics and Computation in Music: 4th International Conference, MCM 2013, Montreal, Canada, June 12-14, 2013, Proceedings. editor / J Just ; J Wild ; J A Burgoyne. Vol. 7937 Berlin, Heidelberg : Springer, 2013. pp. 76-87 (Lecture Notes in Artificial Intelligence).

@inbook{0eca505c15064f4eb7cab98dc2d0796a,

title = "Conceptual and Experiential Representations of Tempo: Effects on Expressive Performance Comparisons",

abstract = "Tempo is an important parameter that is varied and analysed in music performance. We argue that it is important to consider both tempo and log(tempo) in score time as well as performance time in the analysis of performances; performance time mirrors listeners{\textquoteright} real time experience, and log(tempo) gauges proportional tempo changes. As demonstration, we revisit Chew{\textquoteright}s (2012) score time tempo analysis of performances of Beethoven{\textquoteright}s “Moonlight” Sonata, and generate new results using log(tempo) and performance time. We show that extreme differences in score time tempo are ameliorated by considering log(tempo) and performance time, that the performers employed similar log(tempo) ranges and phrase lengths (in performance time), and that long score time phrases do not necessarily map to lengthy performance time spans due to speedier phrase traversal times. The results suggest that log(tempo) range and maximum performance time phrase length may act as perceptual constraints on the shaping of a performance.",

keywords = "musical expression, music expressivity, musical prosody, tempo arc, segmentation",

author = "Elaine Chew and Clifton Callender",

year = "2013",

doi = "10.1007/978-3-642-39357-0_6",

language = "English",

isbn = "978-3-642-39356-3",

volume = "7937",

series = "Lecture Notes in Artificial Intelligence",

publisher = "Springer",

pages = "76--87",

editor = "J Just and J Wild and Burgoyne, {J A }",

booktitle = "Mathematics and Computation in Music",

note = "Mathematics and Computation in Music , MCM ; Conference date: 12-06-2013 Through 14-06-2013",

url = "http://www.smcm-net.info/index.html",

}

Chew, E & Callender, C 2013, Conceptual and Experiential Representations of Tempo: Effects on Expressive Performance Comparisons. in J Just, J Wild & JA Burgoyne (eds), Mathematics and Computation in Music: 4th International Conference, MCM 2013, Montreal, Canada, June 12-14, 2013, Proceedings. vol. 7937, Lecture Notes in Artificial Intelligence, vol. 7937, Springer, Berlin, Heidelberg, pp. 76-87, Mathematics and Computation in Music , Montreal, Canada, 12/06/2013. https://doi.org/10.1007/978-3-642-39357-0_6

Conceptual and Experiential Representations of Tempo: Effects on Expressive Performance Comparisons. / Chew, Elaine; Callender, Clifton.
Mathematics and Computation in Music: 4th International Conference, MCM 2013, Montreal, Canada, June 12-14, 2013, Proceedings. ed. / J Just; J Wild; J A Burgoyne. Vol. 7937 Berlin, Heidelberg: Springer, 2013. p. 76-87 (Lecture Notes in Artificial Intelligence; Vol. 7937).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Conceptual and Experiential Representations of Tempo: Effects on Expressive Performance Comparisons

AU - Chew, Elaine

AU - Callender, Clifton

N1 - Conference code: 4

PY - 2013

Y1 - 2013

N2 - Tempo is an important parameter that is varied and analysed in music performance. We argue that it is important to consider both tempo and log(tempo) in score time as well as performance time in the analysis of performances; performance time mirrors listeners’ real time experience, and log(tempo) gauges proportional tempo changes. As demonstration, we revisit Chew’s (2012) score time tempo analysis of performances of Beethoven’s “Moonlight” Sonata, and generate new results using log(tempo) and performance time. We show that extreme differences in score time tempo are ameliorated by considering log(tempo) and performance time, that the performers employed similar log(tempo) ranges and phrase lengths (in performance time), and that long score time phrases do not necessarily map to lengthy performance time spans due to speedier phrase traversal times. The results suggest that log(tempo) range and maximum performance time phrase length may act as perceptual constraints on the shaping of a performance.

AB - Tempo is an important parameter that is varied and analysed in music performance. We argue that it is important to consider both tempo and log(tempo) in score time as well as performance time in the analysis of performances; performance time mirrors listeners’ real time experience, and log(tempo) gauges proportional tempo changes. As demonstration, we revisit Chew’s (2012) score time tempo analysis of performances of Beethoven’s “Moonlight” Sonata, and generate new results using log(tempo) and performance time. We show that extreme differences in score time tempo are ameliorated by considering log(tempo) and performance time, that the performers employed similar log(tempo) ranges and phrase lengths (in performance time), and that long score time phrases do not necessarily map to lengthy performance time spans due to speedier phrase traversal times. The results suggest that log(tempo) range and maximum performance time phrase length may act as perceptual constraints on the shaping of a performance.

KW - musical expression

KW - music expressivity

KW - musical prosody

KW - tempo arc

KW - segmentation

UR - https://link.springer.com/chapter/10.1007/978-3-642-39357-0_6

U2 - 10.1007/978-3-642-39357-0_6

DO - 10.1007/978-3-642-39357-0_6

M3 - Chapter

SN - 978-3-642-39356-3

VL - 7937

T3 - Lecture Notes in Artificial Intelligence

SP - 76

EP - 87

BT - Mathematics and Computation in Music

A2 - Just, J

A2 - Wild, J

A2 - Burgoyne, J A

PB - Springer

CY - Berlin, Heidelberg

T2 - Mathematics and Computation in Music

Y2 - 12 June 2013 through 14 June 2013

ER -

Chew E, Callender C. Conceptual and Experiential Representations of Tempo: Effects on Expressive Performance Comparisons. In Just J, Wild J, Burgoyne JA, editors, Mathematics and Computation in Music: 4th International Conference, MCM 2013, Montreal, Canada, June 12-14, 2013, Proceedings. Vol. 7937. Berlin, Heidelberg: Springer. 2013. p. 76-87. (Lecture Notes in Artificial Intelligence). doi: 10.1007/978-3-642-39357-0_6

Conceptual and Experiential Representations of Tempo: Effects on Expressive Performance Comparisons

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

End-to-End Bayesian Segmentation and Similarity Assessment of Performed Music Tempo and Dynamics without Score Information

COSMOS: Computational Shaping and Modeling of Musical Structures

Maximum a Posteriori Estimation of Piecewise Arcs in Tempo Time-Series

Cite this