---
tags:
- speech
- audio
- asr
- fante
- multilingual
license: mit  # Change if needed
datasets:
- michsethowusu/fante_multispeaker_audio_transcribed
language:
- fat
task_categories:
- automatic-speech-recognition
---

# Fante Multispeaker Audio Transcribed Dataset

## Overview
The **Fante Multispeaker Audio Transcribed** dataset is a collection of speech recordings and their transcriptions in Fante, a widely spoken dialect of the Akan language in Ghana. The dataset is designed for training and evaluating automatic speech recognition (ASR) models and other natural language processing (NLP) applications.

## Dataset Details
- **Source**: The dataset is derived from the [Financial Inclusion Speech Dataset](https://github.com/Ashesi-Org/Financial-Inclusion-Speech-Dataset), which focuses on financial conversations in Fante.
- **Format**: The dataset consists of audio recordings (.wav) and corresponding transcriptions (.txt or .csv).
- **Speakers**: Multiple speakers contribute to the dataset, making it useful for speaker-independent ASR models.
- **Domain**: Primarily focused on financial and general conversations.

## Splits
The dataset is divided as follows:
- **Train Set**: 90% of the data
- **Test Set**: 10% of the data

## Use Cases
This dataset is useful for:
- Training and evaluating ASR models for Fante.
- Developing Fante language models and NLP applications.
- Linguistic analysis of Fante speech.

## Usage
To use this dataset in your Hugging Face project, you can load it as follows:
```python
from datasets import load_dataset

dataset = load_dataset("michsethowusu/fante_multispeaker_audio_transcribed")
```

## License
Refer to the original dataset repository for licensing details: [Financial Inclusion Speech Dataset](https://github.com/Ashesi-Org/Financial-Inclusion-Speech-Dataset).

## Acknowledgments
This dataset is based on the work by [Ashesi-Org](https://github.com/Ashesi-Org). Special thanks to contributors who helped in data collection and annotation. **I am only making it more accessible for machine learning**.

## Citation
If you use this dataset in your research or project, please cite it appropriately:
```
@misc{financialinclusion2022,
  author = {Asamoah Owusu, D., Korsah, A., Quartey, B., Nwolley Jnr., S., Sampah, D., Adjepon-Yamoah, D., Omane Boateng, L.},
  title = {Financial Inclusion Speech Dataset},
  year = {2022},
  publisher = {Ashesi University and Nokwary Technologies},
  url = {https://github.com/Ashesi-Org/Financial-Inclusion-Speech-Dataset}
}
```