Computational methods for the analysis of musical structure
Abstract/Contents
- Abstract
- Music is an art form which is realized in time. This dissertation presents computational methods for examining the temporality of music at multiple time-scales so that both short-term surface features and deeper long-term structures can be studied and related to each other. The methods are applied in particular to musical key analysis (Chapters 2-4) and also adapted for use in performance analysis (Chapters 5-6). The essential methodology is to examine all sequential time-scales within a piece using some analytic process and then arrange a summary of the analytic results into a maximally overlapped arrangement. Chapter 2 defines a two-dimensional plotting domain for displaying musical features at all possible time-scales which forms a basis for further analysis methods. The resulting structures in the plots can be examined subjectively as a navigational aid in the music as illustrated in Chapters 3 and 5. They can also be used to extract musically relevant information as discussed in Chapters 4 and 6.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2011 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Sapp, Craig Stuart |
|---|---|
| Associated with | Stanford University, Department of Music |
| Primary advisor | Smith, Julius O. (Julius Orion) |
| Thesis advisor | Smith, Julius O. (Julius Orion) |
| Thesis advisor | Chafe, Chris |
| Thesis advisor | Selfridge-Field, Eleanor |
| Advisor | Chafe, Chris |
| Advisor | Selfridge-Field, Eleanor |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Craig Stuart Sapp. |
|---|---|
| Note | Submitted to the Department of Music. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2011. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2011 by Craig Stuart Sapp
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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