article.py

ARTICLE ="""
**Motivation**

In Africa, like in other continents of the world, people access vital information mainly through their mobile phones. Therefore the need for voice-enabled applications can be found in all sectors, from health, food to more fun (games, social media).

Existing speech recognition services are not available in many African languages, and the speakers of these languages are excluded from the benefits of voice-enabled technologies. 

This dataset will boost speech technologies (like speech-to-text, text-to-speech, speech translation, and modeling) for African languages, which hitherto had little or no public dataset. 

**Note:** This is a continuous effort. This sprint is just to kick-start the event.

**Benefits of such a dataset**
- Useful dataset to introduce people to audio-related Machine Learning. It can be used as a simple training and/or evaluation dataset for speech processing tasks.

**About the dataset**

The data (metadat,text, and audio recording) are uploaded to [a public Hugging Face dataset](https://huggingface.co/datasets/chrisjay/crowd-speech-africa).

We do not collect your name, address or other sensitive information.

If for some reason you want to remove your entry, please reach out by email.

**Contact**

In case of questions, issues or anything contact Chris Emezue at:
- [email protected] 


"""