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Nächste Überarbeitung
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Vorhergehende Überarbeitung
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en:noten [2022/01/18 16:30]
andres_romero angelegt |
en:noten [2023/08/23 18:10] (aktuell)
sebastiane Adjusted I-MaT's description |
| * 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 [[advanced_camat|advanced]] |
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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. \\ |
| You can choose one of the following computerized approaches to score analysis: | You can choose one of the following computerized approaches to score analysis: |
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| **1. [[en:basics1|music21]]** is an extensive //Python// library for symbolic music representation and processing developed at MIT in Boston. From music21 some modules for visualization, static description, and motif search have been taken and prepared in tutorials using music examples. These tutorials developed within the Fellowship project can be executed as //Jupyter Notebooks// (in a browser). Only a rudimentary knowledge of //Python// command syntax is required, and this knowledge is provided in the tutorials. The scores are displayed within //Jupyter Notebooks// in the browser, if a score editor (for example //MuseScore//) has been installed. The installation of //Anaconda// or //Miniconda// and the project-specific Python environment (hfm_x_x.yml in the current version) is also a prerequisite. | **1. [[en:basics1|music21]]** is an extensive //Python// library for symbolic music representation and processing developed at MIT in Boston. From music21 some modules for visualization, statistical description, and motif search have been taken and prepared in tutorials using music examples. These tutorials developed within the Fellowship project can be executed as //Jupyter Notebooks// (in a browser). Only a rudimentary knowledge of //Python// command syntax is required, and this knowledge is provided in the tutorials. The scores are displayed within //Jupyter Notebooks// in the browser, if a score editor (for example //MuseScore//) has been installed. The installation of //Anaconda// or //Miniconda// and the project-specific Python environment (hfm_x_x.yml in the current version) is also a prerequisite. |
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| **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//. |
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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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