Recapturing the musical performance data in Seashore’s published performance scores

Author:

Devaney Johanna1

Affiliation:

1. The Ohio State University, USA

Abstract

In the first half of the 20th century, Carl Seashore and colleagues undertook extensive work in performance analysis of a variety of instruments. Their data were embodied in so-called performance scores, which still exist as illustrations of laborious work undertaken by the early pioneers of music performance research and, in their original form, offer today’s researchers the opportunity to only visually examine the experimental data. This article describes the use of image-processing methods to accurately convert the visual data in Seashore’s performance scores into data points. This use of technology offers researchers the opportunity to directly engage with the data collected in Seashore’s laboratory, either for the purposes of validation or performing analyses for which the researchers in Seashore’s time did not have the computational facilities or algorithms to perform. This paper also presents a proof-of-concept study of the vocal performance scores in Harold Seashore’s “An Objective Analysis of Artistic Singing” (1936). Specifically, this study analyzes extracted fundamental frequency data in regards to vibrato rate and depth. Discrepancies between the statistics calculated on the digitized data and those reported in H. Seashore’s publication are discussed, as well as other types of analysis that may be performed on the extracted data.

Publisher

SAGE Publications

Subject

Music,Experimental and Cognitive Psychology

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Perception of violin performance expression through expressive musical terms;Musicae Scientiae;2022-03-10

2. Discrete Fourier transform-based method for analysis of a vibrato tone;Journal of New Music Research;2020-07-01

3. New Metrics for Evaluating the Accuracy of Fundamental Frequency Estimation Approaches in Musical Signals;ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2020-05

4. Representing and Linking Music Performance Data with Score Information;Proceedings of the 3rd International workshop on Digital Libraries for Musicology;2016-08-12

5. Inter- Versus Intra-singer Similarity and Variation in Vocal Performances;Journal of New Music Research;2016-07-02

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