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@@ -155,9 +155,9 @@ The model was trained on a **Multiaccent Catalan** speech dataset
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  ### Training procedure
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- ***Matxa Multiaccent Catalan*** was finetuned from a catalan central [multispeaker checkpoint](https://huggingface.co/BSC-LT/matcha-tts-cat-multispeaker), that was trained on 28 hours of data from multiple speakers.
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- The embedding layer was initialized with the number of catalan speakers per accent (2) and the original hyperparameters were kept.
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  ### Training Hyperparameters
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  ### Training procedure
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+ ***Matxa Multiaccent Catalan*** is finetuned from a Catalan Matxa-base model. This Matxa-base model was finetuned from the English multispeaker checkpoint, using a 100h subset of the Catalan CommonVoice v.16 database. The selection of this small set of samples was made by using the UTMOS system, a predictor of values of the metric Mean Opinion Score (MOS) a score usually set by human evaluators according to their subjective perception of speech quality.
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+ The embedding layer was initialized with the number of catalan speakers per accent (in total 8) and the original hyperparameters were kept.
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  ### Training Hyperparameters
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