Created in 2010, Hemera aims to be a generic Intelligent System aggregating some more advanced Artificial Intelligence Technologies (speech, speech recognition, facial recognition, form/motion recognition, machine learning ...); with applications in day tasks, domotics and robotics.
This script uses my scripts-common project.
- speech synthesis
- speech recognition
- interpretation of recognized commands
- highly configurable
- robust (lots of check are performed)
- internationalization ability
After the first time you clone this repository, you need to initialize git submodule:
git submodule init
git submodule update
This way, scripts-common project will be available and you can use this tool.
This tools uses the configuration file feature of the scripts-common project. You can start with Hemera/config/hemera.conf.sample sample configuration file.
See online documentation for complete information.
You can quick start with this Guide.
You can download release Tarball (previous versions: here and here).
Clone the repository:
git clone https://gitlab.com/bertrand-benoit/hemerais.git
You can get demonstration files in Samples/ sub-directory.
At any time, you can yet help on available commands, launching the following script (you should update your environment, for instance via your ~/.bashrc file, to get it in your PATH):
Hemera/scripts/help.sh
See online documentation.
In any tarball, you can get documentation in doc/ sub-directory.
Since 2019, Hemera environment changes from its Desktop version to a new dedicated Robotics one.
In 2015, and then 2020, source code and website have been migrated (from SourceForge to Github, then to Gitlab) to provide you the best experience.
If you are interested in original version:
- the Website on SourceForge
- the source code on SourceForge
Don't hesitate to contribute or to contact me if you want to improve the project. You can report issues or request features and propose merge requests.
The versioning scheme we use is SemVer.
This project is under the GPLv3 License - see the LICENSE file for details