Meinard Müller的作品
Meinard Müller, on the subject of music processing. I know that he has dedicated tremendous efforts and time to write this comprehensive book with consistent descriptions and many figures. I am especially impressed by the fact that this book is carefully designed so that it can be used from different views such as "A First Course in Music Processing", "Introduction to Fourier Analysis and Applications", and "Data Representations and Algorithms". I believe that this book will be one of the greatest contributions to promote our research field that has been called by various names such as music processing, music technologies, music information processing, music information retrieval, or music information research.” Masataka Goto, Prime Senior Researcher,National Institute of Advanced Industrial Science and Technology (AIST), Japan “Music information retrieval (MIR) is quickly morphing from an emerging field to a well-established area of scholarship in music, computer science and engineering. As a result, MIR education, and in particular training on the algorithmic methods needed to extract high-level information from music audio, is becoming more mainstream, both as part of dedicated courses and as specific applications of a variety of concepts and techniques in science, technology, engineering and mathematics (STEM). In this context, "Fundamentals of Music Processing" is not only timely but also a much-needed resource to support MIR and STEM education both on and off the classroom. That it is written by one of the leading scholars in the field is an added bonus that brings the depth, comprehensiveness and pedagogy necessary to make the book informative and engaging to a multi-disciplinary audience at different stages of their learning process. If your interests lie at the intersection of music, sound and computation, I recommend this book as essential reading.” Juan Pablo Bello, Associate Professor, Music Technology, New York University, USA “Müller's “Fundamentals of Music Processing” is an excellent introduction to the kind of audio processing used in music information retrieval. I plan to use it as the textbook for my course on the topic here at Northwestern University.” Bryan A Pardo, Associate Professor, Music Theory and Cognition, Northwestern University, USA “The textbook "Fundamentals of Music Processing" by Meinard Müller was a pleasure to read. I don't say that of many textbooks, since they can often be tedious or frustrating to read cover-to-cover. But this textbook does a great job of explaining concepts clearly and in a way that maintains interest throughout. In particular, the figures are very well done. The author put a lot of time and thought into designing the figures, and it really pays off - I often found that a concept that was difficult to understand looking at the equation immediately became clear when shown graphically in an example.” Timothy J. Tsai, PhD student, UC Berkeley, USA From the Back Cover 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. See all Editorial Reviews
Meinard Müller, on the subject of music processing. I know that he has dedicated tremendous efforts and time to write this comprehensive book with consistent descriptions and many figures. I am especially impressed by the fact that this book is carefully designed so that it can be used from different views such as "A First Course in Music Processing", "Introduction to Fourier Analysis and Applications", and "Data Representations and Algorithms". I believe that this book will be one of the greatest contributions to promote our research field that has been called by various names such as music processing, music technologies, music information processing, music information retrieval, or music information research.” Masataka Goto, Prime Senior Researcher,National Institute of Advanced Industrial Science and Technology (AIST), Japan “Music information retrieval (MIR) is quickly morphing from an emerging field to a well-established area of scholarship in music, computer science and engineering. As a result, MIR education, and in particular training on the algorithmic methods needed to extract high-level information from music audio, is becoming more mainstream, both as part of dedicated courses and as specific applications of a variety of concepts and techniques in science, technology, engineering and mathematics (STEM). In this context, "Fundamentals of Music Processing" is not only timely but also a much-needed resource to support MIR and STEM education both on and off the classroom. That it is written by one of the leading scholars in the field is an added bonus that brings the depth, comprehensiveness and pedagogy necessary to make the book informative and engaging to a multi-disciplinary audience at different stages of their learning process. If your interests lie at the intersection of music, sound and computation, I recommend this book as essential reading.” Juan Pablo Bello, Associate Professor, Music Technology, New York University, USA “Müller's “Fundamentals of Music Processing” is an excellent introduction to the kind of audio processing used in music information retrieval. I plan to use it as the textbook for my course on the topic here at Northwestern University.” Bryan A Pardo, Associate Professor, Music Theory and Cognition, Northwestern University, USA “The textbook "Fundamentals of Music Processing" by Meinard Müller was a pleasure to read. I don't say that of many textbooks, since they can often be tedious or frustrating to read cover-to-cover. But this textbook does a great job of explaining concepts clearly and in a way that maintains interest throughout. In particular, the figures are very well done. The author put a lot of time and thought into designing the figures, and it really pays off - I often found that a concept that was difficult to understand looking at the equation immediately became clear when shown graphically in an example.” Timothy J. Tsai, PhD student, UC Berkeley, USA From the Back Cover 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. See all Editorial Reviews