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- coqui.ai
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datasets:
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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
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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
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