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README.md
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We present LaFresCat, the first Catalan multiaccented and multispeaker dataset.
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## Dataset Details
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### Dataset Description
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* Balear
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* olga
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* quim
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* Central
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* elia
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* grau
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* Occidental (North-Western)
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* emma
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* pere
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* Valencia
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* gina
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* lluc
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## Uses
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The purpose of this dataset is mainly for training text-to-speech and automatic speech recognition models in Catalan.
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### Languages
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The dataset is in Catalan (`ca-ES`).
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## Dataset Structure
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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## Dataset Creation
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### Source Data
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#### Data Collection and Processing
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#### Who are the source data producers?
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### Annotations [optional]
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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This dataset is a post-processed version of another previously created dataset. Please, refer to its documentation to know about any possible risks, biases and limitations.
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## Citation
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These are the relevant publications related to the creation and development of the festcat dataset:
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```
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@inproceedings{bonafonte2008corpus,
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title={Corpus and Voices for Catalan Speech Synthesis.},
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author={Bonafonte, Antonio and Adell, Jordi and Esquerra, Ignasi and Gallego, Silvia and Moreno, Asunci{\'o}n and P{\'e}rez, Javier},
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booktitle={LREC},
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year={2008}
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}
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```
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```
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@article{bonafonte2009recent,
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title={Recent work on the FESTCAT database for speech synthesis},
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author={Bonafonte, Antonio and Aguilar, Lourdes and Esquerra, Ignasi and Oller, Sergio and Moreno, Asunci{\'o}n},
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journal={Proc. SLTECH},
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pages={131--132},
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year={2009}
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}
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```
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```
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@article{gallego2010corpus,
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title={Corpus ling{\"u}{\'\i}stic pel desenvolupament d'una veu sint{\`e}tica en catal{\`a} per a Festival},
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author={Gallego Gonz{\`a}lez, Silvia},
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year={2010},
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publisher={Universitat Polit{\`e}cnica de Catalunya}
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}
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```
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```
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@phdthesis{moyano2007desenvolupament,
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title={Desenvolupament d'una veu en catal{\`a} per a Festival},
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author={Moyano, Francesc Jarque},
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year={2007}
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}
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```
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**APA:**
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## Funding
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We present LaFresCat, the first Catalan multiaccented and multispeaker dataset.
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This is the license: [Attribution-NonCommercial 4.0 International ] (https://creativecommons.org/licenses/by-nc/4.0/deed.en)
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## Dataset Details
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### Dataset Description
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The audios from this dataset have been created with professional studio recordings by professional voice actors in Lafresca Creative Studio.
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We processed the raw audios with the following recipe:
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- **Trimming:** Long silences from the start and the end of clips have been removed.
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- [py-webrtcvad](https://pypi.org/project/webrtcvad/) -> Python interface to the Voice Activity Detector (VAD) developed by Google for the WebRTC.
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- **Resampling:** From 48000 Hz to 22050 Hz, which is the most common sampling rate for training TTS models
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- **Stereo to mono conversion:**
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In total, there are 4 different accents, with 2 speakers per accent (female and male).
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After trimming, accumulates a total of 3,75h (divided by speaker IDs) as follows:
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* Balear
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* olga -> 23.5 min
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* quim -> 30.93 min
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* Central
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* elia -> 33.14 min
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* grau -> 37,86 min
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* Occidental (North-Western)
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* emma -> 28,67 min
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* pere -> 25,12 min
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* Valencia
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* gina -> 22,25 min
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* lluc -> 23,58 min
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## Uses
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The purpose of this dataset is mainly for training text-to-speech and automatic speech recognition models in Catalan dialects.
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### Languages
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The dataset is in Catalan (`ca-ES`).
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## Dataset Structure
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<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
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## Dataset Creation
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This dataset has been created by members of the Language Technologies unit from the Life Sciences department of the Barcelona Supercomputing Center.
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The voices belong to professional voice actors and they've been recorded in Lafresca Creative Studio.
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### Source Data
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The data presented in this dataset is the source data.
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#### Data Collection and Processing
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These are the technical details of the data collection and processing:
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#### Who are the source data producers?
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The Language Technologies team from the Life Sciences department at the Barcelona Supercomputing Center developed this dataset.
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It features recordings by professional voice actors made at Lafresca Creative Studio.
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### Annotations [optional]
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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## Citation
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**APA:**
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## Funding
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