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README.md
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# Aina Project's Catalan multi-speaker text-to-speech model
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## Model description
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This model was trained from scratch using the [Coqui TTS](https://github.com/coqui-ai/TTS) toolkit on a combination of 3 datasets: [Festcat](http://festcat.talp.cat/devel.php), [OpenSLR](http://openslr.org/69/) and [Common Voice](https://commonvoice.mozilla.org/ca). For the training, 101460 utterances consisting of 257 speakers were used, which corresponds to nearly 138 hours of speech. [Here](https://huggingface.co/spaces/projecte-aina/VITS_ca_multispeaker) you can find a demo of the model.
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## Intended uses and limitations
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---
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license: cc-by-4.0
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language:
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- ca
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tags:
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- TTS
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- audio
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- synthesis
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- VITS
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- speech
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- coqui.ai
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- pytorch
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datasets:
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- mozilla-foundation/common_voice_8_0
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---
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# Aina Project's Catalan multi-speaker text-to-speech model
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## Model description
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This model was trained from scratch using the [Coqui TTS](https://github.com/coqui-ai/TTS) toolkit on a combination of 3 datasets: [Festcat](http://festcat.talp.cat/devel.php), [OpenSLR](http://openslr.org/69/) and [Common Voice](https://commonvoice.mozilla.org/ca). For the training, 101460 utterances consisting of 257 speakers were used, which corresponds to nearly 138 hours of speech. [Here](https://huggingface.co/spaces/projecte-aina/VITS_ca_multispeaker) you can find a demo of the model. A live inference of the demo can be found in [here](https://huggingface.co/spaces/projecte-aina/tts-ca-coqui-vits-multispeaker)
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## Intended uses and limitations
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