Making Machine Musicians: AI for Live Musical Performance
暫譯: 製作機器音樂家：AI 在現場音樂表演中的應用
Palamara, Jason
- 出版商: Focal Press
- 出版日期: 2026-07-16
- 售價: $6,600
- 貴賓價: 9.5 折 $6,270
- 語言: 英文
- 頁數: 246
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032877421
- ISBN-13: 9781032877426
-
相關分類:
AI Coding
尚未上市，無法訂購
商品描述
Making Machine Musicians: AI for Live Musical Performance explores the integration of artificial intelligence (AI) technologies into live music performances.
Offering a comprehensive guide to developing "machine musicians" capable of interactive improvisation and real-time collaboration with human performers, this book introduces readers to cutting-edge trends in live musical AI. Chapters combine theoretical discussions, practical tutorials, and hands-on projects, providing step-by-step instructions for building autonomous music systems, experimenting with interactive AI tools, and exploring creative applications of AI in live performance. Accompanying software and tutorials ensure accessibility for musicians of all levels, fostering both technical fluency and artistic innovation. Whether used as a textbook, a self-study guide, or a practical manual; it equips readers with the knowledge and tools to explore the emerging field of musical AI and its potential to transform the way we create and experience music.
This book will appeal to music technology professionals, educators, and novice musicians alike, this book serves as a valuable resource for anyone interested in the intersection of AI and live music.
商品描述(中文翻譯)
《製造機器音樂家：用於現場音樂表演的人工智慧》探討了人工智慧（AI）技術在現場音樂表演中的整合。
本書提供了一個全面的指南，幫助開發能夠進行互動即興演奏和與人類表演者進行實時合作的「機器音樂家」，並向讀者介紹現場音樂AI的前沿趨勢。各章節結合理論討論、實用教程和實作專案，提供逐步指導，幫助讀者建立自主音樂系統、實驗互動AI工具，並探索AI在現場表演中的創意應用。隨附的軟體和教程確保所有水平的音樂家都能輕鬆上手，促進技術流暢性和藝術創新。無論作為教科書、自學指南或實用手冊，本書都為讀者提供了探索音樂AI新興領域及其改變我們創作和體驗音樂方式的潛力所需的知識和工具。
本書將吸引音樂科技專業人士、教育工作者和初學者音樂家，對於任何對AI與現場音樂交集感興趣的人來說，都是一個寶貴的資源。
作者簡介
Jason Palamara is Assistant Professor of Music Technology at Indiana University, Indianapolis, USA. He specialises in developing AI-enabled performance technologies for music. He directs the Indianapolis-based Machine Musician Lab that pursues multiple AI music and performance initiatives. He maintained a long-term creative partnership with the late percussionist-composer and technologist Scott Deal, with whom he developed the interactive AVATAR software. AVATAR is an autonomous music system that uses machine learning to play along with live improvisation. He is also the founder/director of IU's 30+ member DISEnsemble (Diverse Instrument Symphonic Ensemble), which counts an autonomous digital performer named the Emergent Musical Hologram (EMH) among its performers.
作者簡介(中文翻譯)
傑森·帕拉馬拉是美國印第安納州印第安納大學音樂科技的助理教授。他專注於開發用於音樂的人工智慧（AI）表演技術。他負責位於印第安納波利斯的機器音樂家實驗室，該實驗室追求多個AI音樂和表演計畫。他與已故的打擊樂手、作曲家及技術專家斯科特·迪爾保持了長期的創意合作關係，並與他共同開發了互動式AVATAR軟體。AVATAR是一個自主音樂系統，利用機器學習與現場即興演奏一起演奏。他也是印第安納大學30多名成員的DISEnsemble（多元樂器交響樂團）的創始人/主任，該樂團的表演者中包括一位名為新興音樂全息影像（EMH）的自主數位表演者。
