project: Techniques for the analysis of expressive gestures in musical performance

Subject Domains

  • Music
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Tools

  • Adobe Photoshop LE
  • Steinberg Wavelab
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Content Types

Project start date: 2002-04 Project end date: 2003-03

Classical music is traditionally studied from notation; but music sounds, and how it sounds depends on performance style. The project developed techniques to show what constitutes a performance style. Expressive gestures in sound that characterise personal styles of playing and singing were identified and analysed in detail, using computer visualisation techniques for sound analysis. Their deployment and function in different musical contexts were examined. The process of style change over 100 years of recorded music can be seen as resulting from the changing constituents of personal styles. Original 78rpm discs were used as source materials, and transfers of some of these performances are available from the King's Sound Archive website: http://www.kcl.ac.uk/music/ksa/ksa_sound.html.

Method information: 
Click on the links in the table below for more information about methods and categories.

Methods usedCategory
2d scanning and photographyData capture
Sound analysisData analysis
Sound compressionData structuring and enhancement
Sound editingPractice-led research
Sound editingData structuring and enhancement
Sound encodingData structuring and enhancement
Sound recordingPractice-led research
Sound recordingData capture
Funding sources: 
Arts and Humanities Research Board (AHRB)
Source material used: 

All the sound files derive from original shellac discs held in the King's Sound Archive at King's College, London, where they can be accessed via the Department of Music. They were transferred to digital format by Daniel Leech-Wilkinson, using a range of stylus shapes and sizes, a variable speed turntable, an Elberg equalising pre-amp, a Flying Cow A/D converter, CEDAR de-clicker and de-crackler noise reduction units, and a Lynx L22 digital sound card in a Novatech PC. Conversion to mp3 was done in Steinberg Wavelab 4.0 software. Selected label scans were also provided.

Digital resource created: 

The project generated a collection of digisations of early 20th-century musical performances originally issued on 78rpm discs. Most are performances of songs by Franz Schubert. The original discs are out of copyright in the UK and the transfers, presented in mp3 format, are freely available for download, listening and study. The AHDS and the project author retain copies in uncompressed .WAV format for consultation upon request.

Data transformations for resource dissemination: 

Production of compressed .MP3 files from uncompressed .WAV files from analogue recordings for web delivery.

Metadata information: 
Metadata used? no. 

Institutions affiliated with this project: 

UK HE institutions involved:
King's College London

Project staff and expertise: 

Principal staff member:Professor Daniel Leech-Wilkinson
Other staff:
External expertise:Roger Beardsley, independent recording transfer engineer, advised on the purchase and use of equipment for transferring 78rpm discs to digital formats.





Metadata on this arts-humanities.net record
Author(s) of recordDaniel Leech-Wilkinson
TitleTechniques for the analysis of expressive gestures in musical performance
Record created2008-07-14
Record updated2010-01-27 15:08
URL of recordhttp://www.arts-humanities.net/node/2064
Citation of recordDaniel Leech-Wilkinson: Techniques for the analysis of expressive gestures in musical performance. <http://www.arts-humanities.net/node/2064> created: 2008-07-14, last updated 2010-01-27 15:08
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