---
dataset_info:
  features:
  - name: audio
    dtype:
      audio:
        sampling_rate: 44100
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 5938096417.625
    num_examples: 19947
  download_size: 4622425790
  dataset_size: 5938096417.625
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 `19947 annotated audios`.

### Speaking time

The overall speaking time is: `18h41mn46s`
> speaking time before cleaning: `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.