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  - coqui.ai
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  datasets:
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- - vctk
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- - ljspeech
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- - mailabs
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- - rhasspy
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- - siwis
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- - thorsten voice
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- - marylux
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- - rtl.lu
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- - uni.lu
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  ---
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- ### This model has been trained from scratch with a custom dataset of 12.800 samples, assembled from the following sources:
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- * [VCTK](https://datashare.ed.ac.uk/handle/10283/3443) : 428 + 426 + 426 english male samples (p259, p274, p286) (CC BY 4.0)
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- * [LJSpeech](https://keithito.com/LJ-Speech-Dataset/) : 1280 english female samples (public domain)
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- * [m-ailabs](https://www.caito.de/2019/01/03/the-m-ailabs-speech-dataset/) : 1280 french male samples (public free licence)
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- * [SIWIS](https://datashare.ed.ac.uk/handle/10283/2353) : 1024 french female samples (CC BY 4.0)
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- * [Rhasspy](https://github.com/rhasspy/dataset-voice-kerstin) : 1082 german female samples (CC0 1.0)
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- * [Thorsten](https://www.thorsten-voice.de) : 1280 german male samples (CC0)
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- * [TTS-Portuguese-Corpus](https://github.com/Edresson/TTS-Portuguese-Corpus) : 2560 portuguese male samples (CC BY 4.0)
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- * [Marylux](https://github.com/marytts/marylux-data) : 663 luxembourgish & 198 german & 256 french female samples (CC BY-NC-SA 4.0)
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- * [uni.lu](http://engelmann.uni.lu/dictee/index.php) : 409 luxembourgish female & 231 luxembourgish male samples (© uni.lu)
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- * [rtl.lu](https://www.rtl.lu/meenung/commentaire) : 1257 luxembourgish male samples (© RTL-CLT-UFA)
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- * Charel : 11 luxembourgish boy samples from my grandchild
 
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  - coqui.ai
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  datasets:
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+ - mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS
 
 
 
 
 
 
 
 
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  ---
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+ ### This model has been trained from scratch with a