| 書目名稱 | Fundamentals of Music Processing | | 副標(biāo)題 | Using Python and Jup | | 編輯 | Meinard Müller | | 視頻video | http://file.papertrans.cn/351/350408/350408.mp4 | | 概述 | Combines foundational technologies and essential applications in music processing and music information retrieval.Chapters can be read independently and thus serve as building blocks for individually | | 圖書封面 |  | | 描述 | .The textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval (MIR). Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, signal processing, computer science, digital humanities, and musicology..The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform—concepts used throughout the book. Each of the subsequent chapters starts with a general description of a concrete music processing task and then discusses—in a mathematically rigorous way—essential techniques and algorithms applicable to a wide range of analysis, classification, and retrieval problems. By mixing theory and practice, the book’s goal is to offer detailed technological insights and a deep understanding of music processing applications..Asa substantial extension, the textbook’s second edition introduces the FMP (fundamentals of music processing) notebooks, which provide additional audio-visual material and Python code examples that implement all computational approaches | | 出版日期 | Textbook 2021Latest edition | | 關(guān)鍵詞 | Audio Retrieval; Fourier Analysis; Music Computing; Music Retrieval; Music Structure Analysis; Pattern Re | | 版次 | 2 | | doi | https://doi.org/10.1007/978-3-030-69808-9 | | isbn_softcover | 978-3-030-69810-2 | | isbn_ebook | 978-3-030-69808-9 | | copyright | Springer Nature Switzerland AG 2021 |
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