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AI-Generated Music: Scoring Modern Media
AI-Generated Music: Scoring Modern Media
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211153123
- ISBN
- 9798346849865
- DDC
- 781
- 서명/저자
- AI-Generated Music: Scoring Modern Media
- 발행사항
- [Sl] : University of California, Los Angeles, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 103 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-06, Section: B.
- 주기사항
- Includes supplementary digital materials.
- 주기사항
- Advisor: Krouse, Ian.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Los Angeles, 2024.
- 초록/해제
- 요약This dissertation examines the role of artificial intelligence in music composition, focusing on AI-generated music for modern media. It traces the evolution of AI in music, from early computational experiments to contemporary models like Google's Magenta, OpenAI's Jukebox, and Meta's MusicGen. Central to the research is the fine-tuning and evaluation of MusicGen to align with specific stylistic and creative goals.The study explores the potential of AI to augment artistic processes while addressing ethical concerns such as copyright and authorship. By combining technical analysis with philosophical inquiry, this work positions AI as a tool to enhance creativity, contributing to the ongoing discourse on the intersection of technology and the arts.
- 일반주제명
- Musical composition
- 일반주제명
- Music
- 일반주제명
- Web studies
- 키워드
- AI music
- 키워드
- Film scoring
- 키워드
- Generative AI
- 키워드
- Immersive media
- 키워드
- Virtual Reality
- 기타저자
- University of California, Los Angeles Music 0579
- 기본자료저록
- Dissertations Abstracts International. 86-06B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■006m o d
■007cr#unu||||||||
■020 ▼a9798346849865
■035 ▼a(MiAaPQ)AAI31764236
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a781
■1001 ▼aLi, Elliona Ziyan Song.
■24510▼aAI-Generated Music: Scoring Modern Media
■260 ▼a[Sl]▼bUniversity of California, Los Angeles▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a103 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-06, Section: B.
■500 ▼aIncludes supplementary digital materials.
■500 ▼aAdvisor: Krouse, Ian.
■5021 ▼aThesis (Ph.D.)--University of California, Los Angeles, 2024.
■520 ▼aThis dissertation examines the role of artificial intelligence in music composition, focusing on AI-generated music for modern media. It traces the evolution of AI in music, from early computational experiments to contemporary models like Google's Magenta, OpenAI's Jukebox, and Meta's MusicGen. Central to the research is the fine-tuning and evaluation of MusicGen to align with specific stylistic and creative goals.The study explores the potential of AI to augment artistic processes while addressing ethical concerns such as copyright and authorship. By combining technical analysis with philosophical inquiry, this work positions AI as a tool to enhance creativity, contributing to the ongoing discourse on the intersection of technology and the arts.
■590 ▼aSchool code: 0031.
■650 4▼aMusical composition
■650 4▼aMusic
■650 4▼aWeb studies
■653 ▼aAI music
■653 ▼aAI-assisted composition
■653 ▼aFilm scoring
■653 ▼aGenerative AI
■653 ▼aImmersive media
■653 ▼aVirtual Reality
■690 ▼a0214
■690 ▼a0800
■690 ▼a0646
■690 ▼a0413
■71020▼aUniversity of California, Los Angeles▼bMusic 0579.
■7730 ▼tDissertations Abstracts International▼g86-06B.
■790 ▼a0031
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17165100▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
