Publicacions

El que nosaltres hem escrit sobre el LilyPond

  • Server Acim. GNU/LilyPond (Turkish Language). 2013. (PDF 2100k).
  • Graham Percival. Sustainability in F/OSS: developers as a non-renewable resource. In Rencontres Mondiales du Logiciel Libre 2010 (RMLL2010), 2010. (PDF 333k).
  • Han Wen Nienhuys and Jan Nieuwenhuizen. LilyPond, a system for automated music engraving. In Colloquium on Musical Informatics (XIV CIM 2003), May 2003. (PDF 95k).
  • Han Wen Nienhuys. LilyPond, Automated music formatting and the Art of Shipping. In Forum Internacional Software Livre 2006 (FISL7.0), 2006. (PDF 1095k).
  • Margarethe Maierhofer Lischka & Florian Hollerweger. Lilypond: music notation for everyone!. In Linux Audio Conference 2013 (LAC2013), 2013. (PDF 890k).
  • Reinhold Kainhofer. OrchestralLily: A Package for Professional Music Publishing with LilyPond and LATEX. In The Linux Audio Conference 2010 (LAC2010), 2010. (PDF 767k).
  • Erik Sandberg. Separating input language and formatter in GNU LilyPond. Master’s thesis, Uppsala University, Department of Information Technology, March 2006. (PDF 750k).
  • Francisco Vila. Tipografía musical para la educación y análisis de la dinámica del software libre (Spanish language). PhD thesis, Universidad de Extremadura, 2015. (PDF 20M).

El que uns altres han fet amb el LilyPond

  • Kevin C. Baird. Real-time generation of music notation via audience interaction using python and GNU LilyPond. In New Interfaces for Music Expression, May 2005.
  • Alexandre Tachard Passos, Marcos Sampaio, Pedro Kröger, and Givaldo de Cidra. Functional Harmonic Analysis and Computational Musicology in Rameau. In Proceedings of the 12th Brazilian Symposium on Computer Music, pages 207–210, 2009.
  • Graham Percival, Tosten Anders, and George Tzanetakis. Generating Targeted Rhythmic Exercises for Music Students with Constraint Satisfaction Programming. In International Computer Music Conference, 2008.
  • Alberto Simões, Anália Lourenço, and José João Almeida. (J. Neves et al., editor). Using Text Mining Techniques for Classical Music Scores Analysis. In New Trends in Artificial Intelligence, 2007.

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