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008 150721s2015 gw | s |||| 0|eng d
020 _a9783319219455
_z978-3-319-21945-5
024 7 _a10.1007/978-3-319-21945-5
_2doi
050 4 _aQ337.5
050 4 _aTK7882.P3
072 7 _aUYQP
_2bicssc
072 7 _aCOM016000
_2bisacsh
072 7 _aUYQP
_2thema006.4
_223
100 1 _aMüller, Meinard.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aFundamentals of Music Processing :
_bAudio, Analysis, Algorithms, Applications /
_cby Meinard Müller.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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.
520 _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.
650 0 _aOptical pattern recognition.
650 0 _aInformation storage and retrieva.
650 0 _aFourier analysis.
650 0 _aInformation systems.
650 0 _aMusic.
650 1 4 _aPattern Recognition.
_0http://scigraph.springernature.com/things/product-market-codes/I2203X
650 2 4 _aSignal, Image and Speech Processing.
_0http://scigraph.springernature.com/things/product-market-codes/T24051
650 2 4 _aInformation Storage and Retrieval.
_0http://scigraph.springernature.com/things/product-market-codes/I18032
650 2 4 _aFourier Analysis.
_0http://scigraph.springernature.com/things/product-market-codes/M12058
650 2 4 _aComputer Appl. in Arts and Humanities.
_0http://scigraph.springernature.com/things/product-market-codes/I23036
650 2 4 _aMusic.
_0http://scigraph.springernature.com/things/product-market-codes/417000
710 2 _aSpringerLink (Online service)
856 4 0 _uhttps://doi.org/10.1007/978-3-319-21945-5
_3Springer eBooks
_zOnline access link to the resource
912 _aZDB-2-SCS
999 _c200434589
_d52801
942 _2lcc
_cEBK
041 _aeng