A system for the analysis of musical data

Pullinger, Stuart (2010) A system for the analysis of musical data. PhD thesis, University of Glasgow.

Abstract

The role of music analysis is to enlighten our understanding of a piece of music. The role of musical performance analysis is to help us understand how a performer interprets a piece of music. The current work provides a tool which combines music analysis with performance analysis. By combining music and performance analysis in one system new questions can be asked of a piece of music: how is the structure of a piece reflected in the performance and how can the performance enlighten our understanding of the piece's structure?

The current work describes a unified database which can store and present musical score alongside associated performance data and musical analysis. Using a general purpose representation language, Performance Mark-up Language (PML), aspects of performance are recorded and analysed. Data thus acquired from one project is made available to others. Presentation involves high-quality scores suitably annotated with the requested information. Such output is easily and directly accessible to musicians, performance scientists and analysts.

We define a set of data structures and operators which can operate on musical pitch and musical time, and use them to form the basis of a query language for a musical database. The database can store musical information (score, gestural data, etc.). Querying the database results in annotations of the musical score.

The database is capable of storing musical score information and performance data and cross-referencing them. It is equipped with the necessary primitives to execute music-analytical queries, and highlight notes identified from the score and display performance data alongside the score.

• Item Type: Thesis (PhD)
• Qualification Level: Doctoral
• Additional Information: Software may one day be available at: spiraldb.sf.net
• Keywords: computational musicology, performance musicology, computer, music, performance
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science; M Music and Books on Music > MT Musical instruction and study
• Colleges/Schools: College of Science and Engineering > School of Engineering
• Supervisor's Name: Bailey, Dr. Nicholas
• Date of Award: 2010
• Depositing User: Mr Stuart Pullinger
• Unique ID: glathesis:2010-2133
• Copyright: Copyright of this thesis is held by the author.
• Date Deposited: 13 Oct 2010
• Last Modified: 10 Dec 2012 13:51
• URI: https://theses.gla.ac.uk/id/eprint/2133