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Modular Sound Quality Integrated Toolbox

Project description



Sound quality (SQ) metrics are developed by acoustic engineers and researchers to provide an objective assessment of the pleasantness of a sound. Different metrics exist depending on the nature of the sound to be tested. Some of these metrics are already standardized, while some others rely on scientific articles and are still under active development. The calculation of some sound quality metrics are included in major commercial acoustic and vibration measurement and analysis software. However, some of the proposed metrics results from in-house implementation and can be dependent from one system to another. Some implementations may also lack of complete documentation and validation on publicly available standardized sound samples. Several implementations of SQ metrics in different languages can been found online, confirming the interest of the engineering and scientific community, but they often use Matlab signal processing commercial toolbox.

Besides the metrics, sound quality studies requires several tool like audio signal filtering or jury testing procedure fore instance.


The objective of MOSQITO is therefore to provide a unified and modular development framework of key sound quality tools (including key SQ metrics) with open-source object-oriented technologies, favoring reproducible science and efficient shared scripting among engineers, teachers and researchers community. The development roadmap of the project is presented in more details in the scope section of the documentation.

It is written in Python, one of the most popular free programming language in the scientific computing community. It is meant to be highly documented (use of Jupyter notebooks, tutorials) and validated with reference sound samples and scientific publications.

Origin of the project

EOMYS ENGINEERING initiated this open-source project in 2020 for the study of electric motor sound quality. The project is now backed by Green Forge Coop non profit organization, who also supports the development of Pyleecan electrical machine simulation software.


Tutorials are available in the tutorials folder. Documentation and validation of the MOSQITO functions are available in the documentation folder.


You can contact us on Github by opening an issue (to request a feature, ask a question or report a bug).

How to cite MOSQITO

If you use MOSQITO for your research activities and need to cite the software in a publication, please use the following citation: TODO

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mosqito-0.3.2.tar.gz (70.9 kB view hashes)

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