Article

Scoregram: displaying gross timbre information from a score

Authors:

Rodrigo Segnini,

Craig SappAuthors Info & Claims

CMMR'05: Proceedings of the Third international conference on Computer Music Modeling and Retrieval

Pages 54 - 59

https://doi.org/10.1007/11751069_5

Published: 26 September 2005 Publication History

Abstract

This paper introduces a visualization technique for music scores using a multi-timescale aggregation that offers at-a-glance information interpretable as the global timbre resulting from a normative performance of a score.

References

[1]

Brown, J. C.: "Computer identification of musical instruments using pattern recognition with cepstral coefficients as features". Journal of Acoustic Society of America 105 (1999) 1933-1941

Crossref

Google Scholar

[2]

Grey, J. and G. Gordon: "Perceptual effects of spectral modifications on musical timbres". Journal of the Acoustical Society of America Vol. 63(5) (1978) 1493-1500

Crossref

Google Scholar

[3]

Fujinaga, I.: "Machine recognition of timbre using steady-state tone of acoustic musical instruments". Proceedings of the international Computer Music Conference (1998) 207-210

Google Scholar

[4]

Giannakis, K. and M. Smith: "Imaging Soundscapes: Identifying Cognitive Associations between Auditory and Visual Dimensions" in Godoy, R. I., Jorgensen, H. (eds.): Musical Imagery. Swets & Zeitlinger (2001) 161-179

Google Scholar

[5]

Handel, S. and M.L. Erickson: "A Rule of Thumb: The Bandwidth for Timbre Invariance Is One Octave". Music Perception 19 (2001) 121-126

Crossref

Google Scholar

[6]

Huron, D.: "Music Information Processing Using the Humdrum Toolkit: Concepts, Examples, and Lessons". Computer Music Journal 26 (2002) 11-26

Digital Library

Google Scholar

[7]

Langer, J., R. Kopiez, C. Stoffel and M. Wilz. "Real Time Analysis of Dynamic Shaping" in the Proceedings of the 6th International Conference on Music Perception and Cognition, Keele, United Kingdom, August 2000.

Google Scholar

[8]

Moore, B.: An Introduction to the Psychology of Hearing. Academic Press (2003)

Google Scholar

[9]

Sapp, C.: Harmonic Visualizations of Tonal Music. Proceedings of the International Computer Music Conference (2001) 423-430

Google Scholar

[10]

Sapp, C.: "Visual Hierarchical Key Analysis". Association for Computing Machinery: Computers in Entertainment, 3(4) (Fall 2005).

Digital Library

Google Scholar

[11]

Tzanetakis, G.: Manipulation, Analysis, and Retrieval Systems for Audio Signals. Ph.D. Dissertation. Princeton University (2002)

Digital Library

Google Scholar

Cited By

View all

Grekow J(2018)Musical performance analysis in terms of emotions it evokesJournal of Intelligent Information Systems10.1007/s10844-018-0510-y51:2(415-437)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1007/s10844-018-0510-y
Sapp C(2005)Visual hierarchical key analysisComputers in Entertainment (CIE)10.1145/1095534.10955443:4(1-19)Online publication date: 1-Oct-2005
https://dl.acm.org/doi/10.1145/1095534.1095544

Scoregram: displaying gross timbre information from a score
1. Applied computing
  1. Arts and humanities

Recommendations

MoshViz: A Detail+Overview Approach to Visualize Music Elements

A music piece contains a large amount of information represented as a series of instructions corresponding to notes that must be played at specific times. These simple notes are combined to form complex harmonic structures that can be difficult to ...
A Model and Framework for Visualization Exploration

Visualization exploration is the process of extracting insight from data via interaction with visual depictions of that data. Visualization exploration is more than presentation; the interaction with both the data and its depiction is as important as ...
Eikon: a tool for geometric coding of large multivariate datasets

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

CMMR'05: Proceedings of the Third international conference on Computer Music Modeling and Retrieval

September 2005

273 pages

ISBN:3540340270

Editors:
Richard Kronland-Martinet
CNRS Laboratoire de Mécanique et d'Acoustique, 31 chemin Joseph-Aiguier, Marseille Cedex 20, France
,
Thierry Voinier
Laboratoire de Mécanique et d'Acoustique, CNRS, 31, chemin Joseph Aiguier, Marseille Cedex 20, France
,
Sølvi Ystad
CNRS Laboratoire de Mécanique et d'Acoustique, 31 chemin Joseph-Aiguier, Marseille Cedex 20, France

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 26 September 2005

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 01 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Grekow J(2018)Musical performance analysis in terms of emotions it evokesJournal of Intelligent Information Systems10.1007/s10844-018-0510-y51:2(415-437)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1007/s10844-018-0510-y
Sapp C(2005)Visual hierarchical key analysisComputers in Entertainment (CIE)10.1145/1095534.10955443:4(1-19)Online publication date: 1-Oct-2005
https://dl.acm.org/doi/10.1145/1095534.1095544

Abstract

References

Cited By

Recommendations

MoshViz: A Detail+Overview Approach to Visualize Music Elements

A Model and Framework for Visualization Exploration

Eikon: a tool for geometric coding of large multivariate datasets

Comments

Information

Published In

Publisher

Publication History

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations