en:start

Unterschiede

Hier werden die Unterschiede zwischen zwei Versionen angezeigt.

Link zu dieser Vergleichsansicht

Beide Seiten der vorigen Revision Vorhergehende Überarbeitung
Nächste Überarbeitung
Vorhergehende Überarbeitung
en:start [2021/09/10 15:31]
martin [Welcome to the "Computational Music Analysis Fellowship Project"!]
en:start [2022/01/25 06:30] (aktuell)
martin
Zeile 1: Zeile 1:
-{{ :pianoroll.png?300|}}   +====== Welcome at the fellowship project Computer-assisted Music Analysis! ======
  
-===== Welcome to the "Computational Music Analysis Fellowship Project"! =====+  * [[en:audio|Audio Analysis]] 
 +  * [[en:noten|Sheet Music Analysis]] 
 +  * [[en:datenbank|Sheet Music Database]] 
 +  * [[en:installation|Software Installation]] 
 +  * [[en:dokumentation|Resources and Documentation]] 
 +  * [[en:forschung|The project]]
  
-  * [[modules|Teaching units and modules]] 
-  * [[documentation|Resources and Documentation]] 
-  * [[research|The project]] 
-  * [[composers|Link to sheet music database]] 
  
-Courses on musical analysis are an integral part of both musicology courses and the training of music teachers and musicians at universities and conservatories. The goal of the fellowship project is to design, test, evaluate, and teach several flexibly applicable teaching modules on music analysis, with recourse to various computer-based analysis tools. The teaching modules are dedicated to computer-based annotation and visualization of musical texts and audio files, statistical analysis of music corpora, and search for musical patterns (melodies, rhythms etc.). They are intended to complement conventional analysis courses, have been and evaluated within several courses at the HfM Weimar, and will are available free of charge to a wider circle of interested parties via this Internet platform.+Courses on musical analysis are an integral part of both musicology courses and the training of music teachers and musicians at universities and conservatories. The goal of the fellowship project is to design, test, evaluate, and teach several flexibly applicable teaching modules on music analysis, with recourse to various computer-based analysis tools. The teaching modules are dedicated to computer-based annotation and visualization of musical texts and audio files, statistical analysis of music corpora, and search for musical patterns (melodies, rhythms etc.). They are intended to complement conventional analysis courses, have been and evaluated within several courses at the HfM Weimar, and will are publicly available to a wider circle of interested parties via this Internet platform.
  
 Computers can be used as aids in the analysis of musical texts and recordings. Computer programs can be used to quickly and reliably Computers can be used as aids in the analysis of musical texts and recordings. Computer programs can be used to quickly and reliably
Zeile 14: Zeile 15:
   * visualize musical sequences and structures,     * visualize musical sequences and structures,  
   * statistically describe musical characteristics of the pieces in question (e.g. frequencies of pitches)   * statistically describe musical characteristics of the pieces in question (e.g. frequencies of pitches)
-  *  and searched for specific patterns (e.g. melodic motifs).+  * and searched for specific patterns (e.g. melodic motifs).
  
 This extends conventional approaches to analysis and opens up and explores new perspectives of musical analysis in musicology and music theory. On the one hand, the computer tools can be used to pursue specific analytical questions, and on the other hand, a playful approach to the tools and note files enables the discovery of unexpected relationships - which can then lead to new analytical questions. This extends conventional approaches to analysis and opens up and explores new perspectives of musical analysis in musicology and music theory. On the one hand, the computer tools can be used to pursue specific analytical questions, and on the other hand, a playful approach to the tools and note files enables the discovery of unexpected relationships - which can then lead to new analytical questions.
  
-All software used in the teaching units is freely accessible and license-freeThus, the project follows the principle of open access open access to publicly funded project results and independence from commercially oriented IT corporations+The [[tutorials|Teaching modules and tutorials]] are provided that introduce various possibilities of computer-assisted analysis of sheet music or audio files on the basis of music-analytical issues. Each teaching unit consists of a basic module (//Basics Sheet Music// or //Basics Audio//and a specialization (//Advanced//). The teaching units can be used in self-study or within coursesThe duration of the teaching units is approximately three sessions of 90-minutes, with additional preparation, homework and optional specializations.
  
-**[[modules|Teaching units and modules]]**+All [[en:installation|software]] used in the teaching units is freely accessible and license-free. Thus, the project follows the principle of open access - open access to publicly funded project results and independence from commercially oriented IT corporations. 
  
-Two teaching units are provided that introduce various possibilities of computer-assisted analysis of sheet music or audio files on the basis of music-analytical issues. Each teaching unit consists of a basic module (//Basics Sheet Music// or //Basics Audio//and a specialization (//Advanced//). The teaching units can be used in self-study or within coursesThe duration of the teaching units is approximately three sessions of 90-minuteswith additional preparation, homework and optional specializations.+The project //Computergestützte Musikanalyse in der digitalen Hochschullehre// (computer-aided music analysis within digital higher education) is located at the Institute of Musicology Weimar-Jena of the Franz Liszt University of Music Weimar. It is funded by the Thuringian Ministry for Economy, Science and Digital Change and the //Stifterverband//. The project sees itself as a contribution to Computational Musicology or Digital Musicology within Digital HumanitiesFurther information about the project's objectivesstaff etc. can be found on [[research|The project]].
  
-**[[documentation|Resources and Documentation]]** +Feedback is welcome: [[analyse@hfm-weimar.de]]
- +
-These pages contain information on installing the required software, a [[composers|database]] with score files of several 1000 sheet music files, a comprehensive documentation of score analysis programs developed in the project, links to similar research projects and publications and more materials.  +
- +
- +
-**[[research|The project]]** +
- +
-Further information about the project's objectives, staff etc. can be found on the project page. +
-The project //Computergestützte Musikanalyse in der digitalen Hochschullehre// (computer-aided music analysis within digital higher education) is located at the Institute of Musicology Weimar-Jena of the Franz Liszt University of Music Weimar. It is funded by the Thuringian Ministry for Economy, Science and Digital Change and the //Stifterverband//. The project sees itself as a contribution to Computational Musicology or Digital Musicology within Digital Humanities.  +
- +
-The project is currently in the test phase. Feedback is welcome: [[analyse@hfm-weimar.de]]+
  
 **Imprint:** \\ **Imprint:** \\
Zeile 43: Zeile 34:
 99425 Weimar \\ 99425 Weimar \\
  
-[[https://www.hfm-weimar.de/datenschutz|Privacy Policy]] of the HfM Weimar.+[[https://www.hfm-weimar.de/footer-navigation/privacy-policy/?L=1&cHash=b96a2b0841243026ea890f589de24a8f&dt=1%3Fphlfkfcjekfcjmop%3Fophdjmophlfcjmoh|Privacy Policy]] of the HfM Weimar.
  
  
  • en/start.1631287875.txt.gz
  • Zuletzt geändert: 2021/09/10 15:31
  • von martin