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en:start [2025/12/18 08:03] – [Fellowship project Computer-assisted Music Analysis] martinen:start [2025/12/18 15:53] (aktuell) – martin
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-====== Toolbox for Sheet Music Analysis ======+====== New Toolkit for Sheet Music Analysis ======
  
-Starting in September 2025, the CAMAT toolbox will be redeveloped and substantially extended within the research project //Development of a Comprehensive Cloud-Based Toolbox for Sheet Music Analysis//. +Starting in September 2025, the CAMAT toolbox will be redeveloped and substantially extended within the research project //A Comprehensive Cloud-Based Toolbox for Sheet Music Analysis//.\\ 
-Duration: September 2025 until August 2028 +You can follow the project’s progress, including alpha releases and datasets, on our GitHub project website:  
-Funded by the //German Research Foundation// (DFG), program //Library and Information Services// (LIS) (PF 669/19-1) +
- +
-You can follow the project’s progress, including alpha releases and datasets, on our GitHub organization:  +
 [[https://github.com/analyse-hfm-weimar|https://github.com/analyse-hfm-weimar]] [[https://github.com/analyse-hfm-weimar|https://github.com/analyse-hfm-weimar]]
  
-The overall goal of this project is to develop an open-source, Python-based toolkit for interactive sheet music analysis. Built on  + 
 +The goal of this project is to develop an open-source, Python-based toolkit for interactive sheet music analysis. Built on  
 [[https://www.verovio.org/|Verovio]],   [[https://www.verovio.org/|Verovio]],  
 [[https://mei-friend.mdw.ac.at/|mei-friend]], and   [[https://mei-friend.mdw.ac.at/|mei-friend]], and  
-[[https://jupyter.org/|Jupyter]]—in particular via the cloud-based [[https://nfdi-jupyter.de/|Jupyter4NFDI]] platform—the toolbox enables seamless exploration, annotation, visualization, and statistical analysis of symbolic music data as well as pattern-search methods for melodic, harmonic, rhythmic, and textural analysis. Supported formats include MEI, kern, and MusicXML, supporting established parsers such as [[https://web.mit.edu/music21/|music21]] and [[https://github.com/CPJKU/partitura|Partitura]]. +[[https://jupyter.org/|Jupyter]]—in particular via the cloud-based [[https://nfdi-jupyter.de/|Jupyter4NFDI]] platform—the toolbox enables comprehensive exploration, annotation, visualization, and statistical analysis of symbolic music data as well as pattern-search methods for melodic, harmonic, rhythmic, and textural analysis. Supported formats include MEI, kern, and MusicXML, also supporting established parsers such as [[https://web.mit.edu/music21/|music21]] and [[https://github.com/CPJKU/partitura|Partitura]]. 
-The toolbox allows interactive score rendering and customizable corpus creation from validated and OMR-based sources. Reproducible Jupyter workflows are combined with openly available datasets, in particular data derived from the  +The toolbox allows interactive score rendering and customizable corpus creation from validated OMR-based sources. Reproducible Jupyter workflows are combined with openly available datasets, in particular data derived from the  
 [[https://www.musiconn.de/|musiconn]] project, including the //Denkmäler der deutschen Tonkunst// (Series I & II), as well as selected works from the early 20th century. [[https://www.musiconn.de/|musiconn]] project, including the //Denkmäler der deutschen Tonkunst// (Series I & II), as well as selected works from the early 20th century.
 +By integrating and producing openly accessible corpora in MEI format, the project aims to lower barriers to computational music analysis and to foster the broader adoption of digital methods in musicology, music theory, and music pedagogy.
  
-By integrating and producing new, openly accessible corpora in MEI format, the project aims to lower barriers to computational music analysis and to foster the broader adoption of digital methods in musicology, music theory, and music pedagogy. 
  
-Research team+Project runtime: September 2025 until August 2028\\ 
 +Funded by the //German Research Foundation// (DFG), program //Library and Information Services - E-Research Technologies// (LIS) (PF 669/18-1)\\ \\ 
 +{{:dfg_logo_schriftzug_blau-768x98.jpg?200|}} 
 +\\ 
 + 
 +Research team:
   * Prof. Dr. Martin Pfleiderer (applicant)   * Prof. Dr. Martin Pfleiderer (applicant)
   * Dr. Egor Polyakov (scientific assistant)   * Dr. Egor Polyakov (scientific assistant)
   * Pia Steuck (student assistant)   * Pia Steuck (student assistant)
 +\\
  
  
- +====== Fellowship project Computer-Assisted Music Analysis ======
- +
-====== Fellowship project Computer-assisted Music Analysis ======+
  
   * [[en:audio|Audio Analysis]]   * [[en:audio|Audio Analysis]]
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