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商品描述
Musicians Coding AI for Themselves blends cutting edge academic research with the real-world experiences of musicians working the intersection of music and AI. This book not only reflects on the philosophical implications of AI in music but also offers readers insights into the technical inner workings of bespoke, artist-crafted AI systems.
The chapters are written by emerging and innovative coder-musicians who present their own artistic practice and research, with a focus on creative, ethical, collaborative, and educational uses of AI. Interviews with leading musicians who have incorporated AI into their work traverse diverse topics, from behind-the-scenes details of how each artist uses AI in their music to the greater conceptual impact of AI on the arts, the future of music technology, and the creative process.
This book will be of interest to practicing musicians who wish to synthesize the creative potential of AI in their music and understand its implications for the wider music community. It will also appeal to students of music composition, music studies, experimental music, music technology, and human-computer interaction.
商品描述(中文翻譯)
《Musicians Coding AI for Themselves》結合前沿的學術研究，以及在音樂與 AI 交會領域工作的音樂家之真實經驗。本書不僅探討 AI 對音樂所帶來的哲學意涵，也讓讀者深入了解由藝術家量身打造的客製化 AI 系統，其技術運作內幕。
本書各章由嶄露頭角且富創新精神的程式設計師兼音樂家撰寫，介紹他們自身的藝術實踐與研究，並聚焦於 AI 在創作、倫理、協作與教育等面向的應用。書中也收錄與將 AI 融入創作的知名音樂家之訪談，探討多元主題，從各位藝術家如何在音樂中使用 AI 的幕後細節，到 AI 對藝術整體所帶來的概念性影響、音樂科技的未來，以及創作過程等。
本書適合希望在音樂創作中整合 AI 創作潛能，並了解其對整體音樂社群所帶來影響的音樂工作者閱讀；同時也適合音樂作曲、音樂研究、實驗音樂、音樂科技，以及人機互動等領域的學生。
作者簡介
Constantin Basica, DMA, is a Romanian composer whose work focuses on symbiotic interrelations between music, video, and performers. His music has been presented internationally by distinguished artists at events such as MATA Festival, Ars Electronica Festival (Bucharest Garden), World New Music Days, George Enescu Festival, and the International Computer Music Conference. He earned his doctorate in composition and completed postdoctoral training at Stanford University. In recent years, he has collaborated with researchers on developing AI tools for co-creativity that explore "translations" between media. Basica is a lecturer in music at Stanford's Center for Computer Research in Music and Acoustics (CCRMA).
Julie Zhu, DMA, is a composer, artist, and carillonist. Her work stands interstitial to instrumental music, electronics, and performance within settings ranging from chamber music stagings to museum sound installations to experimental film scores. Concision and poetry characterize her music, with commissions from Radio France, Dark Music Days Reykjavík, GMEM Marseille, GRAME Lyon, and Chamber Music America. Her research on music and AI focuses on the project Deep Drawing, which tests a machine's ability to bring the intricate noises of drawing and writing to visual life. Zhu is an assistant professor of performing arts technology at the University of Michigan.
作者簡介(中文翻譯)
Constantin Basica，DMA，是一位羅馬尼亞作曲家，其作品著重探討音樂、影像與表演者之間的共生關係。他的音樂曾由知名藝術家於世界各地演出，活動包括 MATA Festival、Ars Electronica Festival（Bucharest Garden）、World New Music Days、George Enescu Festival，以及 International Computer Music Conference。他在作曲領域取得博士學位，並於 Stanford University 完成博士後研究。近年來，他與研究人員合作開發用於共創的 AI 工具，探索媒體之間的「轉譯」。Basica 是 Stanford's Center for Computer Research in Music and Acoustics（CCRMA）的音樂講師。
Julie Zhu，DMA，是一位作曲家、藝術家與鐘琴演奏家。她的創作介於器樂音樂、電子音樂與表演之間，涵蓋從室內樂舞台演出、博物館聲音裝置到實驗電影配樂等各種形式。簡潔與詩意是她音樂的特色；她曾受 Radio France、Dark Music Days Reykjavík、GMEM Marseille、GRAME Lyon 以及 Chamber Music America 委託創作。她對音樂與 AI 的研究聚焦於 Deep Drawing 計畫，該計畫測試機器能否將繪畫與書寫所產生的細緻聲響轉化為可視化的生命。Zhu 是 University of Michigan 表演藝術科技助理教授。
