|
--- |
|
dataset_info: |
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features: |
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- name: audio |
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dtype: |
|
audio: |
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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-* |
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license: cc-by-4.0 |
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task_categories: |
|
- text-to-speech |
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language: |
|
- wo |
|
pretty_name: anta_women_tts |
|
size_categories: |
|
- 10K<n<100K |
|
--- |
|
# Anta Women TTS |
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## 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. |
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We also cleaned up the annotations by __removing special characters, emojis, Arabic and Russian characters__. |
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We've corrected a few annotation errors, __but there are potentially many more to come__. |
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Some lines and audios judged not qualitative enough have been removed from the dataset, reducing its size to `19947 annotated audios`. |
|
|
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### Speaking time: |
|
|
|
The overall speaking time is: `18h41mn46s` |
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> speaking time before cleaning: `18h 47mn 19s`. |
|
|
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The text dataset comes from _news websites_, _Wikipedia_ and _self curated text_. |
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|
|
## Citation |
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You can access the project paper at https://arxiv.org/abs/2104.02516. |
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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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|
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|
