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---
dataset_info:
features:
- name: audio
dtype:
audio:
sampling_rate: 44100
- name: text
dtype: string
splits:
- name: train
num_bytes: 5929148456.25
num_examples: 19918
download_size: 4614643443
dataset_size: 5929148456.25
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- text-to-speech
language:
- wo
pretty_name: anta_women_tts
size_categories:
- 10K<n<100K
---
# Anta Women TTS
## Dataset Description
This is a cleaned version of the [Wolof TTS dataset](https://huggingface.co/datasets/galsenai/wolof_tts) by [GalsenAI](https://galsen.ai/).
We extracted the `female` voice, denoised it and enhanced it with the [Resemble Enhance](https://github.com/resemble-ai/resemble-enhance) library.
We also cleaned up the annotations by __removing special characters, emojis, Arabic and Russian characters__.
We've corrected a few annotation errors, __but there are potentially many more to come__.
Some lines and audios judged not qualitative enough have been removed from the dataset, reducing its size to `19918 annotated audios`.
### Speaking time:
The speaking time is to be updated: `18h 47mn 19s`
The text dataset comes from _news websites_, _Wikipedia_ and _self curated text_.
## Citation
You can access the project paper at https://arxiv.org/abs/2104.02516.
If you work on the dataset, please cite the authors below.
```
@dataset{thierno_ibrahima_diop_2021_4498861,
author = {Thierno Ibrahima Diop and
Demba AW and
Ami jaane and
Mamadou Badiane},
title = {WOLOF TTS(Text To Speech) Data},
month = feb,
year = 2021,
publisher = {Zenodo},
version = 1,
doi = {10.5281/zenodo.4498861},
url = {https://doi.org/10.5281/zenodo.4498861}
}
```
## Acknowledgment
This work was carried out by [Derguene](https://huggingface.co/derguene/) and was made possible thanks to computing infrastructure support from [Caytu Robotics](https://caytu.com/).
Many thanks to them and especially to [Abdoulaye Faye](https://www.linkedin.com/in/abdfaye/) for this support.
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