Computational Models of Rhythm and Meter
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Különgyűjtemény: | e-book |
Formátum: | könyv |
Nyelv: | angol |
Megjelenés: |
Cham : Springer International Publishing,
2018
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Tárgyszavak: | |
Online elérés: | http://doi.org/10.1007/978-3-319-76285-2 |
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opac-EUL01-000977597 |
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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. |