Lineage & freedom : a quantum computational framework for improvisation
Abstract/Contents
- Abstract
- Musical improvisation is the spontaneous act of musically communicating and composing with one or more musicians in the moment. However, in the current field of music information retrieval (MIR) there has not been a focus on developing algorithms to better understand the inner workings of improvisation, especially between musicians of different cultures and backgrounds. It is in part, due to the vast and complex space in which improvisation operates. A space with infinite outcomes that could possibly unfold. Because of this, classical computers are not efficient at modeling these types of interactions. Musical improvisation is more aligned with quantum computers, their properties allow us to simultaneously consider and handle this large number of musical possibilities. This dissertation proposes and outlines a new framework for developing music improvisation applications on quantum computers.
Description
| Alternative title | Lineage and freedom |
|---|---|
| Type of resource | text |
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2023; ©2023 |
| Publication date | 2023; 2023 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Oshiro, Scott Yeiichi |
|---|---|
| Degree supervisor | Chafe, Chris |
| Thesis advisor | Chafe, Chris |
| Thesis advisor | Alessandrini, Patricia |
| Thesis advisor | Bosi, Marina |
| Thesis advisor | Smith, Julius |
| Degree committee member | Alessandrini, Patricia |
| Degree committee member | Bosi, Marina |
| Degree committee member | Smith, Julius |
| Associated with | Stanford University, School of Humanities and Sciences |
| Associated with | Stanford University, Department of Music |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Scott Oshiro. |
|---|---|
| Note | Submitted to the Department of Music. |
| Thesis | Thesis Ph.D. Stanford University 2023. |
| Location | https://purl.stanford.edu/sg420hc4768 |
Access conditions
- Copyright
- © 2023 by Scott Yeiichi Oshiro
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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