---
license: cc-by-sa-4.0
dataset_info:
features:
- name: audio
dtype: audio
- name: transcription
dtype: string
splits:
- name: train
num_bytes: 3700111065.76
num_examples: 12435
download_size: 3331803699
dataset_size: 3700111065.76
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- text-to-speech
language:
- ca
---
# Dataset Card for festcat_trimmed_denoised
This is a post-processed version of the Catalan Festcat speech dataset. The data can be found [here](http://festcat.talp.cat/ca/download-legacy.php).
## Dataset Details
### Dataset Description
We processed the data of the Catalan Festcat with the following recipe:
- **Trimming:** Long silences from the start and the end of clips have been removed.
- [py-webrtcvad](https://pypi.org/project/webrtcvad/) -> Python interface to the Voice Activity Detector (VAD) developed by Google for the WebRTC.
- **Resampling:** From 48000 Hz to 22050 Hz, which is the most common sampling rate for training TTS models
- Resampler from [CoquiTTS](https://github.com/coqui-ai/TTS/tree/dev) framework
- **De-noising:** Although base quality of the audios is high, we could remove some background noise and small artifcats thanks to the CleanUNet denoiser developed by NVIDIA.
- [CleanUNet](https://github.com/NVIDIA/CleanUNet)
- [paper](https://arxiv.org/abs/2202.07790)
We kept the same number of wave files, also the original anonymized file names and transcriptions.
Same license is maintained:
Creative Commons Attribution-ShareAlike 3.0 Spain License.
To view a copy of this license, visit this [link](http://creativecommons.org/licenses/by-sa/3.0/es/).
## Uses
The purpose of this dataset is mainly for training text-to-speech and automatic speech recognition models in Catalan.
## Dataset Structure
The dataset consists of a single split, providing audios and transcriptions:
```
DatasetDict({
train: Dataset({
features: ['audio', 'transcription'],
num_rows: 4240
})
})
```
Each data point is structured as:
```
>> data['train'][0]['audio']
{'path': 'caf_09901_01619988267.wav',
'array': array([-3.05175781e-05, -3.05175781e-05, -3.05175781e-05, ..., -6.10351562e-05, -6.10351562e-05, -6.10351562e-05])
'sampling_rate': 22050}
>> data['train'][0]['transcription']
"L'òpera de Sydney es troba a l'entrada de la badia"
```
### Dataset Splits
- audio (dict): A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: dataset[0]["audio"] the audio file is automatically decoded and resampled to dataset.features["audio"].sampling_rate. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus, it is important to first query the sample index before the "audio" column, i.e. dataset[0]["audio"] should always be preferred over dataset["audio"][0].
* path (str): The path to the audio file.
* array (array): Decoded audio array.
* sampling_rate (int): Audio sampling rate.
- transcription (str): The sentence the user was prompted to speak.
## Dataset Creation
### Source Data
#### Data Collection and Processing
#### Who are the source data producers?
Copyright 2018, 2019 Google, Inc.
### Annotations [optional]
#### Personal and Sensitive Information
## Bias, Risks, and Limitations
### Recommendations
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
## Citation
These are the relevant publications related to the creation and development of the festcat dataset:
```
@inproceedings{bonafonte2008corpus,
title={Corpus and Voices for Catalan Speech Synthesis.},
author={Bonafonte, Antonio and Adell, Jordi and Esquerra, Ignasi and Gallego, Silvia and Moreno, Asunci{\'o}n and P{\'e}rez, Javier},
booktitle={LREC},
year={2008}
}
```
```
@article{bonafonte2009recent,
title={Recent work on the FESTCAT database for speech synthesis},
author={Bonafonte, Antonio and Aguilar, Lourdes and Esquerra, Ignasi and Oller, Sergio and Moreno, Asunci{\'o}n},
journal={Proc. SLTECH},
pages={131--132},
year={2009}
}
```
```
@inproceedings{bonafonte2008corpus,
title={Corpus and Voices for Catalan Speech Synthesis.},
author={Bonafonte, Antonio and Adell, Jordi and Esquerra, Ignasi and Gallego, Silvia and Moreno, Asunci{\'o}n and P{\'e}rez, Javier},
booktitle={LREC},
year={2008}
}
```
```
@inproceedings{bonafonte2008corpus,
title={Corpus and Voices for Catalan Speech Synthesis.},
author={Bonafonte, Antonio and Adell, Jordi and Esquerra, Ignasi and Gallego, Silvia and Moreno, Asunci{\'o}n and P{\'e}rez, Javier},
booktitle={LREC},
year={2008}
}
```
**APA:**
## Glossary [optional]
## More Information [optional]
## Dataset Card Authors [optional]
## Dataset Card Contact