서브메뉴
검색
GENERIC: Musical Improvisation With Machine Learning and Generative Composition
GENERIC: Musical Improvisation With Machine Learning and Generative Composition
Detailed Information
- Material Type
- 단행본
- 0017357643
- Date and Time of Latest Transaction
- 20260202103540
- ISBN
- 9798293801091
- DDC
- 780
- Author
- Bailey, Sean G.
- Title/Author
- GENERIC: Musical Improvisation With Machine Learning and Generative Composition
- Publish Info
- [Sl] : Temple University, 2025
- Publish Info
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- Material Info
- 131 p
- General Note
- Source: Dissertations Abstracts International, Volume: 87-03, Section: B.
- General Note
- Includes supplementary digital materials.
- General Note
- Advisor: Wright, Maurice.
- 학위논문주기
- Thesis (Ph.D.)--Temple University, 2025.
- Abstracts/Etc
- 요약Both investigative and creative in nature, GENERIC explores the nexus of carbon and silicon intelligence-evaluating and testing directions for the application of artificial intelligence (AI) techniques in the field of musical creativity. This task is first approached through an examination of selected existing musical works involving humans and AI systems, beginning near the advent of the digital computer and progressing through contemporary works. The project culminated in the creation of an eponymous musical suite for clarinet and electronics, in which a musical work was composed simultaneously for concert presentation and for the distinct purpose of training a machine learning system to generate a musical response-positioning an AI system as both a creative partner and a source of computerized musical improvisation. The compositional features, electronics design, and sound synthesis techniques employed throughout GENERIC are examined in detail, and the conceptual implications surrounding musical composition involving an AI system are contextualized against current and historical ideologies.
- Subject Added Entry-Topical Term
- Music
- Subject Added Entry-Topical Term
- Musical composition
- Subject Added Entry-Topical Term
- Computer engineering
- Index Term-Uncontrolled
- Clarinet
- Index Term-Uncontrolled
- Computer music
- Index Term-Uncontrolled
- Electro acoustic
- Index Term-Uncontrolled
- Electroacoustic
- Index Term-Uncontrolled
- Generative music
- Added Entry-Corporate Name
- Temple University Music Composition
- Host Item Entry
- Dissertations Abstracts International. 87-03B.
- Electronic Location and Access
- 로그인 후 원문을 볼 수 있습니다.
MARC
008260126s2025 us c eng d■001000017357643
■00520260202103540
■006m o d
■007cr#unu||||||||
■020 ▼a9798293801091
■035 ▼a(MiAaPQ)AAI32040878
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a780
■1001 ▼aBailey, Sean G.▼0(orcid)0000-0002-2813-1462
■24510▼aGENERIC: Musical Improvisation With Machine Learning and Generative Composition
■260 ▼a[Sl]▼bTemple University▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a131 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-03, Section: B.
■500 ▼aIncludes supplementary digital materials.
■500 ▼aAdvisor: Wright, Maurice.
■5021 ▼aThesis (Ph.D.)--Temple University, 2025.
■520 ▼aBoth investigative and creative in nature, GENERIC explores the nexus of carbon and silicon intelligence-evaluating and testing directions for the application of artificial intelligence (AI) techniques in the field of musical creativity. This task is first approached through an examination of selected existing musical works involving humans and AI systems, beginning near the advent of the digital computer and progressing through contemporary works. The project culminated in the creation of an eponymous musical suite for clarinet and electronics, in which a musical work was composed simultaneously for concert presentation and for the distinct purpose of training a machine learning system to generate a musical response-positioning an AI system as both a creative partner and a source of computerized musical improvisation. The compositional features, electronics design, and sound synthesis techniques employed throughout GENERIC are examined in detail, and the conceptual implications surrounding musical composition involving an AI system are contextualized against current and historical ideologies.
■590 ▼aSchool code: 0225.
■650 4▼aMusic
■650 4▼aMusical composition
■650 4▼aComputer engineering
■653 ▼aClarinet
■653 ▼aComputer music
■653 ▼aElectro acoustic
■653 ▼aElectroacoustic
■653 ▼aGenerative music
■690 ▼a0413
■690 ▼a0214
■690 ▼a0800
■690 ▼a0464
■71020▼aTemple University▼bMusic Composition.
■7730 ▼tDissertations Abstracts International▼g87-03B.
■790 ▼a0225
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17357643▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
Preview
Export
ChatGPT Discussion
AI Recommended Related Books
Detail Info.
- Reservation
- Not Exist
- My Folder
- First Request
- Non-Book Loan Application
- Nighttime Book Loan Application
Available after logging in.


