Nächste Überarbeitung
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Vorhergehende Überarbeitung
Nächste Überarbeitung
Beide Seiten der Revision
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en:noten [2022/01/18 16:30] andres_romero angelegt |
en:noten [2022/01/25 16:21] martin [Sheet Music Analysis] |
* Sheet music analysis with [[basics1|music21: Basics]] and [[advanced1|Advanced]] | * Sheet music analysis with [[basics1|music21: Basics]] and [[advanced1|Advanced]] |
* Sheet music with the dem [[en:Interaktive Musikanalyse| Interactive Music Analysis Tool (I-MaT)]] | * Sheet music with the dem [[en:Interaktive Musikanalyse| Interactive Music Analysis Tool (I-MaT)]] |
* Sheet music with [[camat|CAMAT (Computer-aided Music Analysis Tool): Basics]] and [[advanced1|Advanced]] | * Sheet music with [[camat|CAMAT (Computer-aided Music Analysis Tool): Basics]] and [[advanced1|advanced-camat]] |
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The modules, tutorials and software tools provided on these websites introduce various possibilities of computer-aided analysis of sheet music files. \\ | The modules, tutorials and software tools provided on these websites introduce various possibilities of computer-aided analysis of sheet music files. \\ |
**2. **The **[[en:Interaktive Musikanalyse|Interactive Music Analysis Tool (I-MaT)]]** is based on the functionality of //music21//, but runs in an easy-to-use command window instead of a Jupyter Notebook in the browser. All results (graphs, tables) are displayed in external pop-up windows, sheet music in an external score editors (MuseScore). \\ Since the operation has been implemented as a simple, 'interactive' option selection, knowledge of computer commands or a programming language is not required. Therefore, the tool is ideally suited as a low-threshold and straightforward introduction to the possibilities of computer-aided music analysis with //music21//, without having to get involved in the command syntax of //python// and the functionality of //Jupyter Notebooks//. Nevertheless, the installation of //Anaconda// or //Miniconda// and the project-specific Python environment (hfm_x_x.yml in the current version) is a prerequisite. | **2. **The **[[en:Interaktive Musikanalyse|Interactive Music Analysis Tool (I-MaT)]]** is based on the functionality of //music21//, but runs in an easy-to-use command window instead of a Jupyter Notebook in the browser. All results (graphs, tables) are displayed in external pop-up windows, sheet music in an external score editors (MuseScore). \\ Since the operation has been implemented as a simple, 'interactive' option selection, knowledge of computer commands or a programming language is not required. Therefore, the tool is ideally suited as a low-threshold and straightforward introduction to the possibilities of computer-aided music analysis with //music21//, without having to get involved in the command syntax of //python// and the functionality of //Jupyter Notebooks//. Nevertheless, the installation of //Anaconda// or //Miniconda// and the project-specific Python environment (hfm_x_x.yml in the current version) is a prerequisite. |
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**3. [[camat|CAMAT (Computer-aided Music Analysis Tool)]]** is a tool developed within the Fellowship project whose tutorials are executed as //Jupyter Notebooks// (in the browser). Only rudimentary knowledge of the //Python// command syntax is required; this knowledge is provided within the tutorials. \\ | **3. [[en:camat|CAMAT (Computer-aided Music Analysis Tool)]]** is a tool developed within the Fellowship project whose tutorials are executed as //Jupyter Notebooks// (in the browser). Only rudimentary knowledge of the //Python// command syntax is required; this knowledge is provided within the tutorials. \\ |
CAMAT is based on a data structure developed within the project (//pandas dataframe//) which is used to prepare MusicXML files for flexible visualisation (multicolor piano roll display), for statistical analysis (including graphs and tables), and for motif search. Prerequisite is the installation of //Anaconda// or //Miniconda// and the project-specific Python environment (hfm_x_x.yml in the current version). The scores can be viewed and listened to in parallel in an external score editor (for example MuseScore). | CAMAT is based on a data structure developed within the project (//pandas dataframe//) which is used to prepare MusicXML files for flexible visualisation (multicolor piano roll display), for statistical analysis (including graphs and tables), and for motif search. Prerequisite is the installation of //Anaconda// or //Miniconda// and the project-specific Python environment (hfm_x_x.yml in the current version). The scores can be viewed and listened to in parallel in an external score editor (for example MuseScore). |
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