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@@ -107,11 +107,29 @@ Each data point is structured as:
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  ### Source Data
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- <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  #### Data Collection and Processing
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  <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
 
 
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  #### Who are the source data producers?
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  Copyright: 2007-2012, Antonio Bonafonte
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  2007-2012, Universitat Politècnica de Catalunya
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  2007-2012, Sergio Oller <sergioller@gmail.com>
 
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  License: LGPL-2.1
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  ### Annotations [optional]
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  <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
 
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  #### Personal and Sensitive Information
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  <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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-
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  ## Bias, Risks, and Limitations
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  ```
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  **APA:**
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  ## Dataset Card Contact
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  langtech@bsc.es
 
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  ### Source Data
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+ *FestCat: Speech Synthesis in Catalan using Festival*
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+
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+ The goal of this dataset is to provide a Catalan Speech Corpora. This corpora
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+ is needed to produce quality synthetic voices in Catalan language. The main propouse of this
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+ voices will be to be used in future voice synthesis applications.
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+ This project has been developed by the Universitat Politècnica de Catalunya (UPC) within
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+ the Speech Technology Department (TSC), in the TALP Research Center. This project is included
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+ in the TALP’s FestCat project, which principal objective is to produce an open and high quality
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+ voice synthesizer for Catalan.
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+
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+ The data set has been manually quality checked, but there might still be errors.
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+
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+ Please report any issues in the following issue tracker on GitHub. https://github.com/FestCat/festival-ca/issues
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+
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+ The original dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
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+ See [LICENSE](https://github.com/FestCat/festival-ca/blob/upstream/LICENSE-gpl-2.0.txt) and [LICENSE](https://github.com/FestCat/festival-ca/blob/upstream/LICENSE-lgpl-2.1.txt) files as well as
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+ [https://github.com/google/language-resources#license](https://github.com/FestCat/festival-ca) for license information under License.
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  #### Data Collection and Processing
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  <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
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+ This is a post-processed version of the Catalan [FestCat](http://festcat.talp.cat/download.php) dataset.
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+ For more inormation about the original data collection and processing refer to [this website](http://festcat.talp.cat/).
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  #### Who are the source data producers?
 
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  Copyright: 2007-2012, Antonio Bonafonte
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  2007-2012, Universitat Politècnica de Catalunya
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  2007-2012, Sergio Oller <sergioller@gmail.com>
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+ 2023, Language Technologies Unit (LangTech) at Barcelona Supercomputing Center
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  License: LGPL-2.1
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  ### Annotations [optional]
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  <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
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+ (N/A)
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  #### Personal and Sensitive Information
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  <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
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+ The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in this dataset.
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  ## Bias, Risks, and Limitations
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  ```
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  **APA:**
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+ ## Funding
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+ This work was funded by [Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya](https://politiquesdigitals.gencat.cat/ca/inici/index.html#googtrans(ca|en) within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).
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  ## Dataset Card Contact
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  langtech@bsc.es