Computational Models of Rhythm and Meter

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Megjelenés: Cham : Springer International Publishing, 2018
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Online elérés:http://doi.org/10.1007/978-3-319-76285-2
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id opac-EUL01-000977597
collection e-book
institution L_042
EUL01
spelling Boenn, Georg EUL10001045502 Y
Computational Models of Rhythm and Meter by Georg Boenn
Cham Springer International Publishing 2018
XII, 187 p. 47 illusztrált, 3 illusztrált szinesben online forrás
szöveg txt rdacontent
számítógépes c rdamedia
távoli hozzáférés cr rdacarrier
szövegfájl PDF rda
Preface.-Introduction -- Phenomenology of Rhythm and Meter -- A Shorthand Notation for Musical Rhythm -- Partitions and Musical Sentences -- The Use of the Burrows-Wheeler Transform for Analysis and Composition -- Christoffel Rhythms -- The Farey Sequence as a Model for Musical Rhythm and Meter -- Introduction to Quantization -- Rhythm Quantization -- Future Work -- Conclusion -- References.
This book presents the latest computational models of rhythm and meter that are based on number theory, combinatorics and pattern matching. Two computational models of rhythm and meter are evaluated: The first one explores a relatively new field in Mathematics, namely Combinatorics on Words, specifically Christoffel Words and the Burrows-Wheeler Transform, together with integer partitions. The second model uses filtered Farey Sequences in combination with specific weights that are assigned to inter-onset ratios. This work is assessed within the context of the current state of the art of tempo tracking and computational music transcription. Furthermore, the author discusses various representations of musical rhythm, which lead to the development of a new shorthand notation that will be useful for musicologists and composers. Computational Models of Rhythm and Meter also contains numerous investigations into the timing structures of human rhythm and metre perception carried out within the last decade. Our solution to the transcription problem has been tested using a wide range of musical styles, and in particular using two recordings of J.S. Bach's Goldberg Variations by Glenn Gould. The technology is capable of modelling musical rhythm and meter by using Farey Sequences, and by detecting duration classes in a windowed analysis, which also detects the underlying tempo. The outcomes represent human performances of music as accurate as possible within Western score notation.
Nyomtatott kiadás: ISBN 9783319762845
Nyomtatott kiadás: ISBN 9783319762869
Nyomtatott kiadás: ISBN 9783030094522
Az e-könyvek a teljes ELTE IP-tartományon belül online elérhetők.
könyv
e-book
Optical pattern recognition. EUL10001087156 Y
Computer simulation. EUL10000093376 Y
elektronikus könyv
SpringerLink (Online service) közreadó testület
Online változat http://doi.org/10.1007/978-3-319-76285-2
Cham Springer International Publishing Imprint: Springer 2018
EUL01
language English
format Book
author Boenn, Georg
spellingShingle Boenn, Georg
Computational Models of Rhythm and Meter
Optical pattern recognition.
Computer simulation.
elektronikus könyv
author_facet Boenn, Georg
SpringerLink (Online service), közreadó testület
author_corporate SpringerLink (Online service), közreadó testület
author_sort Boenn, Georg
title Computational Models of Rhythm and Meter
title_short Computational Models of Rhythm and Meter
title_full Computational Models of Rhythm and Meter by Georg Boenn
title_fullStr Computational Models of Rhythm and Meter by Georg Boenn
title_full_unstemmed Computational Models of Rhythm and Meter by Georg Boenn
title_auth Computational Models of Rhythm and Meter
title_sort computational models of rhythm and meter
publishDate 2018
publishDateSort 2018
physical XII, 187 p. 47 illusztrált, 3 illusztrált szinesben : online forrás
isbn 978-3-319-76285-2
callnumber-first Q - Science
callnumber-subject Q - General Science
callnumber-label Q337
callnumber-raw 14794
callnumber-search 14794
topic Optical pattern recognition.
Computer simulation.
elektronikus könyv
topic_facet Optical pattern recognition.
Computer simulation.
elektronikus könyv
Optical pattern recognition.
Computer simulation.
url http://doi.org/10.1007/978-3-319-76285-2
illustrated Illustrated
dewey-hundreds 000 - Computer science, information & general works
dewey-tens 000 - Computer science, knowledge & systems
dewey-ones 006 - Special computer methods
dewey-full 006.4
dewey-sort 16.4
dewey-raw 006.4
dewey-search 006.4
first_indexed 2023-12-26T23:19:12Z
last_indexed 2023-12-29T19:19:18Z
recordtype opac
publisher Cham : Springer International Publishing
_version_ 1786641341206233088
score 13,365474
generalnotes This book presents the latest computational models of rhythm and meter that are based on number theory, combinatorics and pattern matching. Two computational models of rhythm and meter are evaluated: The first one explores a relatively new field in Mathematics, namely Combinatorics on Words, specifically Christoffel Words and the Burrows-Wheeler Transform, together with integer partitions. The second model uses filtered Farey Sequences in combination with specific weights that are assigned to inter-onset ratios. This work is assessed within the context of the current state of the art of tempo tracking and computational music transcription. Furthermore, the author discusses various representations of musical rhythm, which lead to the development of a new shorthand notation that will be useful for musicologists and composers. Computational Models of Rhythm and Meter also contains numerous investigations into the timing structures of human rhythm and metre perception carried out within the last decade. Our solution to the transcription problem has been tested using a wide range of musical styles, and in particular using two recordings of J.S. Bach's Goldberg Variations by Glenn Gould. The technology is capable of modelling musical rhythm and meter by using Farey Sequences, and by detecting duration classes in a windowed analysis, which also detects the underlying tempo. The outcomes represent human performances of music as accurate as possible within Western score notation.