#### This model has been trained from scratch with my customized dataset [mbarnig/lb-de-fr-en-pt-12800-TTS_CORPUS](https://huggingface.co/datasets/mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS) and the 🐸 [Coqui-TTS multilingual VITS-model recipe](https://github.com/coqui-ai/TTS/tree/dev/recipes/multilingual/vits_tts) (version 0.7.1). The model was trained without phonemes with the following character-set:   
```   
characters="abcdefghijklmnopqrstuvwxyz ßàáâãäçèéêëíîïóôõöùúûü",
punctuations="!'(),-.:;? ",
phonemes=None,
```   
#### A live inference-demo of the model is available in my HuggingFace space ⌨️ 🇱🇺 🔈 [mbarnig/lb_de_fr_en_pt_COQUI_VITS_TTS](https://huggingface.co/spaces/mbarnig/lb_de_fr_en_pt_COQUI_VITS_TTS).

#### Click the tab *training metrics* above to view the live Tensorboard of the model training.

![tensorboard](tensorboard.png)
{"language": ["lb", "de", "fr", "en", "pt"], "license": "cc-by-nc-sa-4.0", "tags": ["TTS", "audio", "synthesis", "yourTTS", "speech", "coqui.ai"], "datasets": ["mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS"]}
transformers tensorboard TTS audio synthesis yourTTS speech coqui.ai lb de fr en pt dataset:mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS license:cc-by-nc-sa-4.0 endpoints_compatible has_space region:us
TAGS
#transformers #tensorboard #TTS #audio #synthesis #yourTTS #speech #coqui.ai #lb #de #fr #en #pt #dataset-mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS #license-cc-by-nc-sa-4.0 #endpoints_compatible #has_space #region-us 

#### This model has been trained from scratch with my customized dataset mbarnig/lb-de-fr-en-pt-12800-TTS_CORPUS and the  Coqui-TTS multilingual VITS-model recipe (version 0.7.1). The model was trained without phonemes with the following character-set:   
   
#### A live inference-demo of the model is available in my HuggingFace space ⌨️ 🇱🇺  mbarnig/lb_de_fr_en_pt_COQUI_VITS_TTS.

#### Click the tab *training metrics* above to view the live Tensorboard of the model training.

!tensorboard
#### This model has been trained from scratch with my customized dataset mbarnig/lb-de-fr-en-pt-12800-TTS_CORPUS and the  Coqui-TTS multilingual VITS-model recipe (version 0.7.1). The model was trained without phonemes with the following character-set: #### A live inference-demo of the model is available in my HuggingFace space ⌨️ 🇱🇺  mbarnig/lb_de_fr_en_pt_COQUI_VITS_TTS. #### Click the tab *training metrics* above to view the live Tensorboard of the model training.

!tensorboard
TAGS
#transformers #tensorboard #TTS #audio #synthesis #yourTTS #speech #coqui.ai #lb #de #fr #en #pt #dataset-mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS #license-cc-by-nc-sa-4.0 #endpoints_compatible #has_space #region-us 
 #### This model has been trained from scratch with my customized dataset mbarnig/lb-de-fr-en-pt-12800-TTS_CORPUS and the  Coqui-TTS multilingual VITS-model recipe (version 0.7.1). The model was trained without phonemes with the following character-set: #### A live inference-demo of the model is available in my HuggingFace space ⌨️ 🇱🇺  mbarnig/lb_de_fr_en_pt_COQUI_VITS_TTS. #### Click the tab *training metrics* above to view the live Tensorboard of the model training.

!tensorboard
passage: TAGS
#transformers #tensorboard #TTS #audio #synthesis #yourTTS #speech #coqui.ai #lb #de #fr #en #pt #dataset-mbarnig/lb-de-fr-en-pt-12800-TTS-CORPUS #license-cc-by-nc-sa-4.0 #endpoints_compatible #has_space #region-us 
#### This model has been trained from scratch with my customized dataset mbarnig/lb-de-fr-en-pt-12800-TTS_CORPUS and the  Coqui-TTS multilingual VITS-model recipe (version 0.7.1). The model was trained without phonemes with the following character-set:#### A live inference-demo of the model is available in my HuggingFace space ⌨️ 🇱🇺  mbarnig/lb_de_fr_en_pt_COQUI_VITS_TTS.#### Click the tab *training metrics* above to view the live Tensorboard of the model training.

!tensorboard