Ciciliato, Vincent; Orlarey, Yann; Pottier, Laurent (Ed.): Proceedings of the Linux Audio Conference — LAC 2017, pp. 43–51, CIEREC, Saint Etienne, 2017.
@inproceedings{fober17a,
title = {Towards dynamic and animated music notation using INScore},
author = {Dominique Fober and Yann Orlarey and Stéphane Letz},
editor = {Vincent Ciciliato and Yann Orlarey and Laurent Pottier},
url = {inscore-lac2017-final.pdf},
year = {2017},
date = {2017-05-18},
booktitle = {Proceedings of the Linux Audio Conference — LAC 2017},
pages = {43–51},
publisher = {CIEREC},
address = {Saint Etienne},
abstract = {INScore is an environment for the design of augmented interactive music scores opened to conventional and non-conventional use of the music notation. The system has been presented at LAC 2012 and has significantly evolved since, with improvements turned to dynamic and animated notation. This paper presents the latest features and notably the dynamic time model, the events system, the scripting language, the symbolic scores composition engine, the network and Web extensions, the interaction processes representation system and the set of sensor objects.},
keywords = {dynamic score, inscore, interactive score, score composition, sensors},
pubstate = {published},
tppubtype = {inproceedings}
}
INScore is an environment for the design of augmented interactive music scores opened to conventional and non-conventional use of the music notation. The system has been presented at LAC 2012 and has significantly evolved since, with improvements turned to dynamic and animated notation. This paper presents the latest features and notably the dynamic time model, the events system, the scripting language, the symbolic scores composition engine, the network and Web extensions, the interaction processes representation system and the set of sensor objects.
Hoadley, Richard; Nash, Chris; Fober, Dominique (Ed.): Proceedings of the International Conference on Technologies for Music Notation and Representation – TENOR2016, pp. 137–143, Anglia Ruskin University, Cambridge, UK, 2016, ISBN: 978-0-9931461-1-4.
@inproceedings{Lepetit-Aimon_tenor2016,
title = {INScore expressions to compose symbolic scores},
author = {Gabriel Lepetit-Aimon and Dominique Fober and Yann Orlarey and Stéphane Letz},
editor = {Richard Hoadley and Chris Nash and Dominique Fober},
url = {inscore-tenor-2016.pdf},
isbn = {978-0-9931461-1-4},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the International Conference on Technologies for Music Notation and Representation – TENOR2016},
pages = {137–143},
publisher = {Anglia Ruskin University},
address = {Cambridge, UK},
abstract = {INScore is an environment for the design of augmented interactive music scores turned to non-conventional use of music notation. The environment allows arbitrary graphic resources to be used and composed for the music representation. It supports symbolic music notation, described us- ing Guido Music Notation or MusicXML formats. The environment has been extended to provided score level com- position using a set of operators that consistently take scores as arguments to compute new scores as output. INScore API supports now score expressions both at OSC and at scripting levels. The work is based on a previous research that solved the issues of the notation consistency across scores composition. This paper focuses on the language level and explains the different strategies to evaluate score expressions.},
keywords = {inscore, interaction, music score, score composition},
pubstate = {published},
tppubtype = {inproceedings}
}
INScore is an environment for the design of augmented interactive music scores turned to non-conventional use of music notation. The environment allows arbitrary graphic resources to be used and composed for the music representation. It supports symbolic music notation, described us- ing Guido Music Notation or MusicXML formats. The environment has been extended to provided score level com- position using a set of operators that consistently take scores as arguments to compute new scores as output. INScore API supports now score expressions both at OSC and at scripting levels. The work is based on a previous research that solved the issues of the notation consistency across scores composition. This paper focuses on the language level and explains the different strategies to evaluate score expressions.
