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100   $a20150721d2015      u|         0
101 0 $aeng
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181   $ctxt
182   $cc
183   $acr
200 10$aFundamentals of Music Processing $eAudio, Analysis, Algorithms, Applications /$fby Meinard Müller
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015.
215   $a1 online resource (XXIX, 487 p. 249 illus., 30 illus. in color.)
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-319-21944-8 
320   $aIncludes bibliographical references and index.
327   $a1 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.
330   $aThis 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.
606   $aPattern recognition
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aInformation storage and retrieval
606   $aFourier analysis
606   $aApplication software
606   $aMusic
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032
606   $aFourier Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M12058
606   $aComputer Appl. in Arts and Humanities$3https://scigraph.springernature.com/ontologies/product-market-codes/I23036
606   $aMusic$3https://scigraph.springernature.com/ontologies/product-market-codes/417000
615  0$aPattern recognition.
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aInformation storage and retrieval.
615  0$aFourier analysis.
615  0$aApplication software.
615  0$aMusic.
615 14$aPattern Recognition.
615 24$aSignal, Image and Speech Processing.
615 24$aInformation Storage and Retrieval.
615 24$aFourier Analysis.
615 24$aComputer Appl. in Arts and Humanities.
615 24$aMusic.
676   $a006.45
700   $aMüller$b Meinard$4aut$4http://id.loc.gov/vocabulary/relators/aut$0854105
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910299230403321
996   $aFundamentals of music processing$91907225
997   $aUNINA