This doc contains general info. Click here for the complete wiki
- Latest update [2020-12-12] xxxxx
QuickEmo is a Python library ...... Through QuickEmo you can:
- Emotion recognition
- Install dependencies:
pip install numpy matplotlib scipy sklearn hmmlearn simplejson eyed3 pydub
- Clone the source of this library:
git clone https://github.com/rebolucion/QuickEmo/QuickEmo.git
- Install using pip:
pip install -e .
More examples and detailed tutorials can be found...
... the trained classifier is used to classify an unknown audio WAV file
from xxxximport audioxxx as qe
qe.fTrain(["classifierData/music","classifierData/speech"])
In addition,
Apart from the current README file and the wiki, a more general and theoretic description of the adopted methods (along with several experiments on particular use-cases) is presented inn..... .Please use the following citation when citing in your research work:
@article{xxxxxxxxxxxxxxx,
title={xxxxxxxxxxxx},
author={xxxxxxxxxxxxxx},
journal={xxxxxxxx},
volume={xx},
number={xx},
year={2020},
publisher={xxxx}
}
Finally, for
_
# Project Title
One Paragraph of project description goes here
## Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
### Prerequisites
What things you need to install the software and how to install them
```
Give examples
```
### Installing
A step by step series of examples that tell you how to get a development env running
Say what the step will be
```
Give the example
```
And repeat
```
until finished
```
End with an example of getting some data out of the system or using it for a little demo
## Running the tests
Explain how to run the automated tests for this system
### Break down into end to end tests
Explain what these tests test and why
```
Give an example
```
### And coding style tests
Explain what these tests test and why
```
Give an example
```
## Deployment
Add additional notes about how to deploy this on a live system
## Built With
* [Dropwizard](http://www.dropwizard.io/1.0.2/docs/) - The web framework used
* [Maven](https://maven.apache.org/) - Dependency Management
* [ROME](https://rometools.github.io/rome/) - Used to generate RSS Feeds
## Contributing
Please read [CONTRIBUTING.md](https://gist.github.com/PurpleBooth/b24679402957c63ec426) for details on our code of conduct, and the process for submitting pull requests to us.
## Versioning
We use [SemVer](http://semver.org/) for versioning. For the versions available, see the [tags on this repository](https://github.com/your/project/tags).
## Authors
* **Billie Thompson** - *Initial work* - [PurpleBooth](https://github.com/PurpleBooth)
See also the list of [contributors](https://github.com/your/project/contributors) who participated in this project.
## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details
## Acknowledgments
* Hat tip to anyone whose code was used
* Inspiration
* etc