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README.md
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@@ -146,10 +146,39 @@ python3 matcha_vocos_inference.py --output_path=/output/path --text_input="Bon d
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| valencia | lluc | 6 |
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| valencia | gina | 7 |
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#### ONNX
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We also release ONNXs version of the models
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### For Training
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| valencia | lluc | 6 |
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| valencia | gina | 7 |
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Be aware that depending on the accent you should choose the proper text cleaner as an argument, by default it uses the catalan central cleaner.
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```bash
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python3 matcha_vocos_inference.py --output_path=/output/path --text_input="Bon dia Manel, avui anem a la muntanya." --length_scale=0.8 --temperature=0.7 --speaker_id 0 --cleaner "catalan_balear_cleaners"
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```
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| accent | cleaner |
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|-----------------|---------------------------|
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| balear | catalan_balear_cleaners |
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| central | catalan_cleaners(default) |
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| nord-occidental | catalan_occidental_cleaners|
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| valencia | catalan_valencia_cleaners |
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#### ONNX
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We also release ONNXs version of the models, you can use it via the OVOS plugins.
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Just install the plugin from pypi.
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```bash
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pip install ovos-tts-plugin-matxa-multispeaker-cat
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```
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and synthesize
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```python
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from ovos_tts_plugin_matxa_multispeaker_cat import MatxaCatalanTTSPlugin
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sent = "Això és una prova de síntesi de veu."
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tts = MatxaCatalanTTSPlugin()
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tts.get_tts(sent, "test.wav", voice="valencia/gina")
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```
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### For Training
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