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  ## Model description
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- **PL-BERT-cat-multiaccent** is a phoneme-level masked language model trained on Catalan text with diverse regional accents. It is based on the [PL-BERT architecture](https://github.com/yl4579/PL-BERT), which learns phoneme representations via a BERT-style masked language modeling objective.
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  This model is designed to support **phoneme-based text-to-speech (TTS) systems**, including but not limited to [StyleTTS2](https://github.com/yl4579/StyleTTS2). Thanks to its Catalan-specific phoneme vocabulary and contextual embedding capabilities, it can serve as a phoneme encoder for any TTS architecture requiring phoneme-level features.
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  ## Model description
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+ **PL-BERT-wordpiece-cat-multiaccent** is a phoneme-level masked language model trained on Catalan text with diverse regional accents. It is based on the [PL-BERT architecture](https://github.com/yl4579/PL-BERT), which learns phoneme representations via a BERT-style masked language modeling objective.
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  This model is designed to support **phoneme-based text-to-speech (TTS) systems**, including but not limited to [StyleTTS2](https://github.com/yl4579/StyleTTS2). Thanks to its Catalan-specific phoneme vocabulary and contextual embedding capabilities, it can serve as a phoneme encoder for any TTS architecture requiring phoneme-level features.
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