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GENERIC: Musical Improvisation With Machine Learning and Generative Composition
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  
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MARC

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■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.

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