Update README.md

README.md

@@ -11,11 +11,11 @@ multilinguality:
 - monolingual
 size_categories:
 - 10K<n<100K
-source_datasets: openslr
+source_datasets: festcat
 task_categories:
 - text-to-speech
 task_ids: []
-pretty_name: openslr-slr69-ca-reviewed
+pretty_name: LaFresCat
 configs:
 - config_name: default
   data_files:
@@ -38,41 +38,28 @@ dataset_info:
   download_size: 539654839
   dataset_size: 586302366.93
 ---
-# Dataset Card for festcat_trimmed_denoised
+# LaFresCat Multiaccent
 
-This is a post-processed version of the Catalan Festcat speech dataset. 
-
-The original data can be found [here](http://festcat.talp.cat/ca/download-legacy.php).
-
-Same license is maintained: [Creative Commons Attribution-ShareAlike 3.0 Spain License](http://creativecommons.org/licenses/by-sa/3.0/es/).
+We present LaFresCat, the first Catalan multiaccented and multispeaker dataset. 
 
 ## 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
-- **Denoising:** 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) - [arXiv](https://arxiv.org/abs/2202.07790)
-
-We kept the same number of samples, filenames, also the original anonymized speaker IDs and transcriptions. 
-Our dataset version, after trimming, accumulates a total of 22.91h (divided by speaker IDs) as follows:
+In total 4 different accents. 2 speakers per accent (female and male):
 
-- bet (female): 0.97h
-- mar (female): 0.96h
-- pol (male): 0.97h
-- eli (female): 0.99
-- ona (female): 6.86h
-- teo (male): 0.80h
-- eva (female): 1.11h
-- pau (male): 7.32h
-- uri (male): 1.04h
-- jan (male): 0.98h
-- pep (male): 0.91h
+* Balear
+  * olga
+  * quim
+* Central
+  * elia
+  * grau
+* Occidental (North-Western)
+  * emma
+  * pere
+* Valencia
+  * gina
+  * lluc
 
 
 ## Uses
@@ -125,47 +112,12 @@ Each data point is structured as:
 
 ### Source Data
 
-*FestCat: Speech Synthesis in Catalan using Festival*
-
-The goal of this dataset is to provide a Catalan Speech Corpora. This corpora
-is needed to produce quality synthetic voices in Catalan language. The main propouse of this
-voices will be to be used in future voice synthesis applications.
-This project has been developed by the Universitat Politècnica de Catalunya (UPC) within
-the Speech Technology Department (TSC), in the TALP Research Center. This project is included
-in the TALP’s FestCat project, which principal objective is to produce an open and high quality
-voice synthesizer for Catalan.
-
-The data set has been manually quality checked, but there might still be errors.
-
-Please report any issues in the following issue tracker on GitHub. https://github.com/FestCat/festival-ca/issues
-
-The original dataset is distributed under Creative Commons Attribution-ShareAlike 4.0 International Public License.
-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 
-[https://github.com/google/language-resources#license](https://github.com/FestCat/festival-ca) for license information under License.
 
 #### Data Collection and Processing
 
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
-This is a post-processed version of the Catalan [FestCat](http://festcat.talp.cat/download.php) dataset. 
-For more inormation about the original data collection and processing refer to [this website](http://festcat.talp.cat/).
-
 
 #### Who are the source data producers?
 
-Format: http://www.debian.org/doc/packaging-manuals/copyright-format/1.0/
-
-Upstream-Name: FestCat
-
-Upstream-Contact: Sergio Oller <[email protected]>, Antonio Bonafonte <[email protected]>
-
-Source: http://festcat.talp.cat
-
-Copyright: 2007-2012, Antonio Bonafonte
-           2007-2012, Universitat Politècnica de Catalunya
-           2007-2012, Sergio Oller <[email protected]>
-           2023, Language Technologies Unit (LangTech) at Barcelona Supercomputing Center 
-
-License: LGPL-2.1
 
 ### Annotations [optional]