Metadata-Version: 2.1
Name: libfmp
Version: 1.1.2
Summary: Python module for fundamentals of music processing
Home-page: http://audiolabs-erlangen.de/FMP
Author: Meinard Müller and Frank Zalkow
Author-email: meinard.mueller@audiolabs-erlangen.de
License: MIT
Download-URL: https://github.com/meinardmueller/libfmp
Description: # libfmp
        
        This repository contains the Python package libfmp. This package goes hand in hand with the FMP Notebooks, a collection of educational material for teaching and learning Fundamentals of Music Processing (FMP) with a particular focus on the audio domain. For detailed explanations and example appliciations of the libfmp-functions we refer to the FMP Notebooks:
        
        http://audiolabs-erlangen.de/FMP
        
        The FMP notebooks also contain a dedicated notebook for libfmp:
        
        https://www.audiolabs-erlangen.de/resources/MIR/FMP/B/B_libfmp.html
        
        ## Installing
        
        You can install libfmp using the Python package manager pip:
        
        ```
        pip install libfmp
        ```
        
        ## Contributing
        
        The libfmp-package has been developed in the context of the FMP notebooks. Being an integral part, all libfmp-functions need to manually synchronized with text passages, explanations, and the code in the FMP notebooks. Of course, we are happy for suggestions and contributions. However, to facilitate the synchronization, we would be grateful for either directly contacting us via email (meinard.mueller@audiolabs-erlangen.de) or for creating [an issue](https://github.com/meinardmueller/libfmp/issues) in our Github repository. Please do not submit a pull request without prior consultation with us.
        
        ## Citing
        
        If you use libfmp in a scholarly work, please consider citing the following article:
        
        Meinard Müller and Frank Zalkow. FMP Notebooks: Educational Material for Teaching and Learning Fundamentals of Music Processing. Proceedings of the International Conference on Music Information Retrieval (ISMIR), 573-580, Delft, The Netherlands, 2019.
        
        ## Acknowledgements
        
        The main authors of libfmp, Meinard Müller and Frank Zalkow, are associated with the International Audio Laboratories Erlangen, which are a joint institution of the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and Fraunhofer Institute for Integrated Circuits IIS. We thank the German Research Foundation (DFG) for various research grants that allow us for conducting fundamental research in music processing. Furthermore, we thank the various people who have contributed to libfmp with code and suggestions. In particular, we want to thank (in alphabetic order) Stefan Balke, Michael Krause, Patricio Lopez-Serrano, Julian Reck, Sebastian Rosenzweig, Angel Villar-Corrales, Christof Weiß, and Tim Zunner.
        
Keywords: audio music sound
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Intended Audience :: Developers
Classifier: Topic :: Multimedia :: Sound/Audio :: Analysis
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.6, <=3.8
Description-Content-Type: text/markdown
Provides-Extra: tests
