My Account Log in

1 option

The AI music problem : why machine learning conflicts with musical creativity / Christopher W. White.

DOAB Directory of Open Access Books Available online

View online
Format:
Book
Author/Creator:
White, Christopher (Christopher Wm.), author.
Language:
English
Subjects (All):
Artificial intelligence--Musical applications.
Artificial intelligence.
Physical Description:
1 online resource (185 pages) : illustrations
Place of Publication:
New York : Routledge, Taylor & Francis Group, 2025.
Summary:
"As artificial intelligence has become increasingly sophisticated at producing many forms of media, it continues to be a challenge for AI to reliably and independently write convincing, enjoyable music without human guidance. The AI Music Problem: Why Machine Learning Conflicts With Musical Creativity asks why producing and constructing music is difficult for AI, with an investigation that straddles the technical, the musical, and the aesthetic. Bringing together the perspectives of the humanities and computer science, the author shows how the difficulties that music poses for AI connect to larger questions about music, artistic expression, and the increasing ubiquity of artificial intelligence. Taking a wide view of the current landscape of machine learning and Large Language Models, The AI Music Problem offers a resource for students, researchers, and the public to understand the broader issues surrounding musical AI on both technical and artistic levels. The author breaks down music theory and computer science concepts with clear and accessible explanations, synthesizing both the technical with more holistic and human-centric analyses. Enabling readers of all backgrounds to understand how contemporary AI models work, and why music is often a mismatch for those processes, this insightful book is relevant to all those engaging with the intersection between AI and musical creativity today"-- Provided by publisher.
Contents:
The problems facing musical artificial intelligence
History, engineering, and motivations behind generative musical AI
Collecting examples for musical datasets
Representing music to artificial intelligence
Musical structure is hard to learn
Interpreting musical artificial intelligence.
Notes:
Includes bibliographical references and index.
ISBN:
1040360327
9781040360323
1003587410
9781003587415
1040360297
9781040360293
OCLC:
1487666376

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account