Fundamentals of Music Processing: Audio, Analysis, Algorithms, Applications (Hardcover)

Meinard Müller

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商品描述

This textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval. Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, computer science, multimedia, and musicology.

The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform―concepts that are then used throughout the book. In the subsequent chapters, concrete music processing tasks serve as a starting point. Each of these chapters is organized in a similar fashion and starts with a general description of the music processing scenario at hand before integrating it into a wider context. It then discusses―in a mathematically rigorous way―important techniques and algorithms that are generally applicable to a wide range of analysis, classification, and retrieval problems. At the same time, the techniques are directly applied to a specific music processing task. By mixing theory and practice, the book’s goal is to offer detailed technological insights as well as a deep understanding of music processing applications. Each chapter ends with a section that includes links to the research literature, suggestions for further reading, a list of references, and exercises. The chapters are organized in a modular fashion, thus offering lecturers and readers many ways to choose, rearrange or supplement the material. Accordingly, selected chapters or individual sections can easily be integrated into courses on general multimedia, information science, signal processing, music informatics, or the digital humanities.

商品描述(中文翻譯)

本教科書提供了深入的技術知識,並全面介紹了音樂處理和音樂信息檢索的基本主題。書中包含了大量的例子、圖表和練習題,適合音頻工程、計算機科學、多媒體和音樂學領域的學生、講師和研究人員使用。

本書共分為八章。前兩章介紹了音樂表示和傅立葉變換的基礎概念,這些概念貫穿整本書。接下來的章節以具體的音樂處理任務作為起點。每個章節都以相似的方式組織,首先對當前的音樂處理場景進行一般描述,然後將其融入更廣泛的背景中。接著,以數學上嚴謹的方式討論了一些重要的技術和算法,這些技術和算法通常適用於各種分析、分類和檢索問題。同時,這些技術也直接應用於具體的音樂處理任務中。通過結合理論和實踐,本書旨在提供詳細的技術見解,以及對音樂處理應用的深入理解。每章結尾都包含了與研究文獻的鏈接、進一步閱讀建議、參考文獻列表和練習題。這些章節以模塊化的方式組織,因此講師和讀者可以根據需要選擇、重新排列或補充材料。因此,選擇性地使用章節或個別部分可以輕鬆地融入關於多媒體、信息科學、信號處理、音樂信息學或數字人文學的課程中。