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Adjusted quick setup example to new vocoder model.
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README.md
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README.md
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- [Emotional dataset download information](#emotional-dataset-download-information)
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- [Pretrained TTS models](#pretrained-tts-models)
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- [Coqui models](#coqui-models)
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- [Quick setup voice synthesizing with Coqui models](#quick-steps-for-synthesizing-voice)
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- [Pre-trained Silero-models](#silero-models)
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- [Public talks](#public-talks)
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@ -158,27 +158,23 @@ If you trained a model on "Thorsten" dataset please file an issue with some info
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My personal training sessions are based on TTS repo code (originally initiated by Mozilla) and now maintained through https://www.coqui.ai (:frog:)
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## Coqui models
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### Easy pip install
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### Quick steps for synthesizing voice
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For all "Thorsten" coqui models i recommend setting up a virtual environment (*venv*).
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> Python 3.6 - 3.9 required
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* mkdir ThorstenVoice
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* cd ThorstenVoice
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* python3 -m venv .
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* source ./bin/activate
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* pip install -U pip
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* pip install -U tts
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* tts --list
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> tts-server --model_name tts_models/de/thorsten/tacotron2-DCA
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or
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> tts-server --model_name tts_models/de/thorsten/tacotron2-DCA --vocoder_name vocoder_models/universal/libri-tts/fullband-melgan
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* pip install -U pip TTS
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* tts-server --model_name tts_models/de/thorsten/tacotron2-DCA
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* Open web-browser on http://localhost:5002
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Check details here: > see: https://github.com/coqui-ai/TTS/releases/tag/v0.0.11
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Details: https://github.com/coqui-ai/TTS/releases/tag/v0.0.11 or https://github.com/coqui-ai/TTS/releases/tag/v0.1.3
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![Coqui web interface ](./img/CoquiWebThorstenVoice.png)
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Instead of web frontend you can call it by cli.
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> curl http://localhost:5002/api/tts?text=TEXT --output test.wav
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### Download Coqui trained checkpoints / config
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| Model name | Coqui Repo branch / commit | Release date | Google Drive Download Link |
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|----------------------------------|---------------------------------------------------|----------------------|--------------------------------------------------------------------------------------|
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img/CoquiWebThorstenVoice.png
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