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The New Standard IEEE 1599, Introduction and Examples
2009
Journal of Multimedia
Preserved Fulltext
Index Terms-Music encoding, standards for music, XML, symbolic representation of music, music layers, IEEE. 1 ...
The article will give a brief description of the standard and of applications that have been built to show its power. ...
The usual synchronisation of events applies here, as in the other examples. The user can select between the original manuscript and a printed score with the words, also between clarinet and canto. ...
doi:10.4304/jmm.4.1.3-8
fatcat:4bfgncafkbhsxnjojwgokmvaga
Audio-to-Score Alignment using Transposition-invariant Features
2018
Zenodo
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Furthermore, they can even outperform widely used features for audio-to-score alignment on 'untransposed data', and thus are a viable and more flexible alternative to well-established features for music ...
Audio-to-score alignment is an important pre-processing step for in-depth analysis of classical music. In this paper, we apply novel transposition-invariant audio features to this task. ...
ACKNOWLEDGEMENTS This research has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (ERC grant agreement No. 670035, project ...
doi:10.5281/zenodo.1492484
fatcat:2c6djve7tbcdvmwa4c5dlhdspq
Audio-to-Score Alignment using Transposition-invariant Features
[article]
2018
arXiv
pre-print
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Furthermore, they can even outperform widely used features for audio-to-score alignment on 'untransposed data', and thus are a viable and more flexible alternative to well-established features for music ...
Audio-to-score alignment is an important pre-processing step for in-depth analysis of classical music. In this paper, we apply novel transposition-invariant audio features to this task. ...
ACKNOWLEDGEMENTS This research has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (ERC grant agreement No. 670035, project ...
arXiv:1807.07278v1
fatcat:bhqrl5xd5rcpnph4ydtgibbkye
Mazurkabl: Score-Aligned Loudness, Beat, And Expressive Markings Data For 2000 Chopin Mazurka Recordings
2018
Zenodo
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Loudness values in sones are extracted and analysed; we also provide the score position of dynamic and tempo markings. ...
To bridge this gap, we created the MazurkaBL dataset, a collection of score-beat positions and loudness values, with corresponding score dynamic and tempo markings for 2000 recordings of forty-four Chopin ...
The authors are also grateful to Sebastian Ewert for providing the code for the audio-to-audio alignment algorithm. ...
doi:10.5281/zenodo.1290763
fatcat:ihokohc4zbemlph5x47gznjsay
Phenicx: Performances As Highly Enriched And Interactive Concert Experiences
2013
Proceedings of the SMC Conferences
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Multimodal musical piece analysis: the project will research on suitable analysis techniques for automatic description and enrichment of the considered musical pieces. ...
between musical performers and their concert audiences. ...
doi:10.5281/zenodo.850345
fatcat:it2buungybgkxj5qdpflxyq7ji
Music Description and Processing: An Approach Based on Petri Nets and XML
[chapter]
2008
Petri Net, Theory and Applications
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Multi-layer structure A comprehensive analysis of music richness and complexity highlights six different levels of music description: general, logical, structural, notational, performance, and audio layers ...
Thanks to MX, the final result automatically generates synchronisation of various kinds of music representation, permitting a new type of musical experience. ...
Music Description and Processing: An Approach Based on Petri Nets and XML, Petri Net, Theory and Applications, Vedran Kordic (Ed.), ISBN: 978-3-902613-12-7, InTech, Available from: http://www.intechopen.com ...
doi:10.5772/5332
fatcat:swj6bbvgmnde3ju4sou7kspgfi
Composing Visual Music: Visual Music Practice at the Intersection of Technology, Audio-visual Rhythms and Human Traces
2018
Body, Space & Technology Journal
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Acknowledgements Special thanks to Martin Nelson and Clare McCaldin for their singing. Shorter versions of parts of this paper and the visual music pieces have been presented at DRHA 2017. ...
Author Information Julie Watkins is a senior lecturer in Film and Television and affiliated to the ...
Visual music will be considered in the light of: audio-visual perception, rhythm, audio-visual synchronisation, technology and human traces. ...
doi:10.16995/bst.296
fatcat:xscv5ljxvjfzlftodpccvtrtya
Dynamic Music Representations for Real-Time Performance: From Sound to Symbol and Back
2016
Zenodo
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We design and implement a real-time performance tracker using the audio-to-audio alignment of acoustic input with a pre-existing reference track, without any symbolic score information. ...
We extend this system with a robust tempo modelling engine, that adaptively switches its source between the alignment path and a beat tracking module. ...
and atomic layers of our selves. ...
doi:10.5281/zenodo.4280757
fatcat:pnxntdy6hzbchhfdwuplpft2nu
A Toolkit For Live Annotation Of Opera Performance: Experiences Capturing Wagner'S Ring Cycle
2015
Zenodo
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relationship between the annotation of score pages and their performance on stage 8 . ...
Each opera score was marked over an average of three days 11 and scanned to images, creating the first derivative layer. ...
doi:10.5281/zenodo.1415581
fatcat:yswlb72ktbgedk4zdar6wne3zq
A real-time multimedia composition layer
2006
Proceedings of the 1st ACM workshop on Audio and music computing multimedia - AMCMM '06
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We introduce a light-weight multimedia composition layer which is situated on top of existing music, sound, and graphics frameworks and libraries. ...
The layer provides applications with a programming interface for multimedia composition, automating real-time media processing and synchronisation. ...
ACKNOWLEDGEMENTS We thank Jürg Gutknecht of ETH Zurich and Christoph P. E. Zollikofer of University of Zurich for supporting our work. ...
doi:10.1145/1178723.1178739
fatcat:7bh5mgvinrb35g3dplzpjohhey
End-To-End Musical Key Estimation Using A Convolutional Neural Network
2018
Zenodo
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Thus, if we want to automatically detect tension and its release in musical audio, if we want to find similarities in harmonic structure in recordings of songs, or if we want to assist disc jockeys or ...
The McGill Billboard Dataset 5 comprises 742 unique songs sampled from the American Billboard charts between 1958 and 1991, and thus consists of mostly pop and rock music. ...
doi:10.5281/zenodo.1160170
fatcat:qha5yvgo3zcjvjry7pvulttvx4
Distributed Notation in the Browser, an Overview
2021
Zenodo
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After highlighting the convergence points between INScore and DRAWSOCKET - but also their own specificity, such as INScore's time model, or DRAWSOCKET's API, the paper concludes with a case study: the ...
"This paper endeavours to discuss a few available technologies for musical notation, from a user's point of view, focusing on "distributed notation": musical notation rendered in real time to multiple ...
Description
INScore INScore [7] is an environment for the design of augmented interactive music scores, open to unconventional uses of music notation and representation, including real-time symbolic ...
doi:10.5281/zenodo.4764764
fatcat:ufjrpy324bdhlmwsqdflwyanfe
Towards reliable real-time opera tracking: Combining alignment with audio event detectors to increase robustness
2020
Zenodo
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Recent advances in real-time music score following have made it possible for machines to automatically track highly complex polyphonic music, including full orchestra performances. ...
, and show, step by step, how these detectors add robustness to the score follower. ...
Special thanks to Andreas Arzt for many fruitful discussions, and to Christopher Widauer for providing the Don Giovanni recordings from the Vienna State Opera. ...
doi:10.5281/zenodo.3898877
fatcat:2defwxenyjf3fejzbqt7wekprq
Towards Reliable Real-time Opera Tracking: Combining Alignment with Audio Event Detectors to Increase Robustness
[article]
2020
arXiv
pre-print
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Recent advances in real-time music score following have made it possible for machines to automatically track highly complex polyphonic music, including full orchestra performances. ...
, and show, step by step, how these detectors add robustness to the score follower. ...
Special thanks to Andreas Arzt for many fruitful discussions, and to Christopher Widauer for providing the Don Giovanni recordings from the Vienna State Opera. ...
arXiv:2006.11033v1
fatcat:jjickyowvzgrbcqkguqurhs26q
End-to-End Musical Key Estimation Using a Convolutional Neural Network
[article]
2017
arXiv
pre-print
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Our experiments confirm that different genres do differ in their interpretation of tonality, and thus a system tuned e.g. for pop music performs subpar on pieces of electronic music. ...
However, using the data-driven approach proposed in this paper, we can train models that deal with multiple musical styles adequately, and without major losses in accuracy. ...
Thus, if we want to automatically detect tension and its release in musical audio, if we want to find similarities in harmonic structure in recordings of songs, or if we want to assist disc jockeys or ...
arXiv:1706.02921v1
fatcat:inory5xyj5ak5lmwe4mu6iv5ze
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