05157nam 22008535 450 991029923040332120200630060559.03-319-21945-610.1007/978-3-319-21945-5(CKB)3710000000454214(SSID)ssj0001584255(PQKBManifestationID)16263036(PQKBTitleCode)TC0001584255(PQKBWorkID)14866459(PQKB)10546740(DE-He213)978-3-319-21945-5(MiAaPQ)EBC6312540(MiAaPQ)EBC5588028(Au-PeEL)EBL5588028(OCoLC)918555094(PPN)190519541(EXLCZ)99371000000045421420150721d2015 u| 0engurnn#008mamaatxtccrFundamentals of Music Processing[electronic resource] Audio, Analysis, Algorithms, Applications /by Meinard Müller1st ed. 2015.Cham :Springer International Publishing :Imprint: Springer,2015.1 online resource (XXIX, 487 p. 249 illus., 30 illus. in color.)Bibliographic Level Mode of Issuance: Monograph3-319-21944-8 Includes bibliographical references and index.1 Music Representations -- 2 Fourier Analysis of Signals -- 3 Music Synchronization -- 4 Music Structure Analysis -- 5 Chord Recognition -- 6 Tempo and Beat Tracking -- 7 Content-Based Audio Retrieval -- 8 Musically Informed Audio Decomposition.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.Pattern recognitionSignal processingImage processingSpeech processing systemsInformation storage and retrievalFourier analysisApplication softwareMusicPattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XSignal, Image and Speech Processinghttps://scigraph.springernature.com/ontologies/product-market-codes/T24051Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Fourier Analysishttps://scigraph.springernature.com/ontologies/product-market-codes/M12058Computer Appl. in Arts and Humanitieshttps://scigraph.springernature.com/ontologies/product-market-codes/I23036Musichttps://scigraph.springernature.com/ontologies/product-market-codes/417000Pattern recognition.Signal processing.Image processing.Speech processing systems.Information storage and retrieval.Fourier analysis.Application software.Music.Pattern Recognition.Signal, Image and Speech Processing.Information Storage and Retrieval.Fourier Analysis.Computer Appl. in Arts and Humanities.Music.006.45Müller Meinardauthttp://id.loc.gov/vocabulary/relators/aut854105MiAaPQMiAaPQMiAaPQBOOK9910299230403321Fundamentals of music processing1907225UNINA