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@@ -20,8 +20,11 @@ We use the following high-scoring models from the TTS leaderboard:
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  - metavoice
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  - StyleTTSv2
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  - XttsV2
 
 
 
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  ## Data Sampling
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  The subset of the data was chosen such that a balanced amount of male/female voices are included.
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- We also include a suggested train, validation and test split. Unique voice IDs do not overlap between the splits, i.e. a voice used to clone a sample in train will never be found in validation and test.
 
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  - metavoice
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  - StyleTTSv2
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  - XttsV2
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+ ## Model Comparisons
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+
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+ To facilitate data exploration, check out this [HF space 🤗](https://huggingface.co/spaces/jerpint/vox-explorer), which allows you to listen to all clones from a given source (e.g. commonvoice).
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  ## Data Sampling
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  The subset of the data was chosen such that a balanced amount of male/female voices are included.
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+ We also include a suggested train, validation and test split. Unique voice IDs do not overlap between the splits, i.e. a voice used to clone a sample in train will never be found in validation and test.