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.

This volume brings together a group of analytical chapters exploring traditional genres and styles of world music, capturing a vibrant and expanding field of research. These contributors, drawn from the forefront of researchers in world music analysis, seek to break down barriers and build bridges between scholarly disciplines, musical repertoires, and cultural traditions. Covering a wide range of genres, styles, and performers, the chapters bring to bear a variety of methodologies, including indigenous theoretical perspectives, Western music theory, and interdisciplinary techniques rooted in the cognitive and computational sciences. With contributors addressing music traditions from Africa, Asia, Europe, and the Americas, this volume captures the many current directions in the analysis of world music, offering a state of the fi eld and demonstrating the expansion of possibilities created by this area of research.

This book shows how recent work in cognitive science, especially that developed by cognitive linguists and cognitive psychologists, can be used to explain how we understand music. The book focuses on three cognitive processes--categorization, cross-domain mapping, and the use of conceptual models--and explores the part these play in theories of musical organization. The first part of the book provides a detailed overview of the relevant work in cognitive science, framed around specific musical examples. The second part brings this perspective to bear on a number of issues with which music scholarship has often been occupied, including the emergence of musical syntax and its relationship to musical semiosis, the problem of musical ontology, the relationship between words and music in songs, and conceptions of musical form and musical hierarchy. The book will be of interest to music theorists, musicologists, and ethnomusicologists, as well as those with a professional or avocational interest in the application of work in cognitive science to humanistic principles.

This book provides a comprehensive overview of music data analysis, from introductory material to advanced concepts. It covers various applications including transcription and segmentation as well as chord and harmony, instrument and tempo recognition. It also discusses the implementation aspects of music data analysis such as architecture, user interface and hardware. It is ideal for use in university classes with an interest in music data analysis. It also could be used in computer science and statistics as well as musicology.

This extremely practical introduction to musical analysis explores the factors that give unity and coherence to musical masterpieces. Having first identified and explained the most important analytical methods, Nicholas Cook examines given compositions from the last two hundred years to show how different analytical procedures suit different types of music.

The main purpose of the book is to explore basic music theory so thoroughly that the interested student will then be able to easily pick up whatever further theory is wanted. Music history and the physics of sound are included to the extent that they shed light on music theory. The main premise of this course is that a better understanding of where the basics come from will lead to better and faster comprehension of more complex ideas.It also helps to remember, however, that music theory is a bit like grammar. Catherine Schmidt-Hones is a music teacher from Champaign, Illinois and she has been a pioneer in open education since 2004. She is currently a doctoral candidate at the University of Illinois in the Open Online Education program with a focus in Curriculum and Instruction.