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--- |
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license: mit |
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language: |
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- ja |
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- ru |
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metrics: |
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- accuracy |
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pipeline_tag: audio-to-audio |
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tags: |
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- rvc |
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- medical |
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datasets: |
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- Open-Orca/FLAN |
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library_name: keras |
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--- |
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# <center> RVC Genshin Impact Japanese Voice Model |
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## About Retrieval based Voice Conversion (RVC) |
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Learn more about Retrieval based Voice Conversion in this link below: |
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[RVC WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI) |
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## How to use? |
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Download the prezipped model and put to your RVC Project. |
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Model test: [Google Colab](https://colab.research.google.com/drive/110kiMZTdP6Ri1lY9-NbQf17GVPPhHyeT?usp=sharing) / [RVC Models New](https://huggingface.co/spaces/ArkanDash/rvc-models-new) (Which is basically the same but hosted on spaces) |
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## <center> INFO |
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Model Created by ArkanDash<br /> |
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The voice that was used in this model belongs to Hoyoverse.<br /> |
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The voice I make to make this model was ripped from the game (3.6 - 4.0). |
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#### Total Models: 46 Models |
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V1 Models: 19 <br /> |
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V2 Models: 27 |
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Duplicate: |
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- Zhongli (v1 & v2) |
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- Nahida (v1 & v2) |
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Plans: |
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- Character from fontaine. |
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- v2 model recreation from v1 model. |
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Note: |
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- For faruzan, somehow the index file is smaller, Might retrain faruzan. |
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Error message: `Converged (lack of improvement in inertia) at step 1152/48215` <br /> |
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- Furina has only 20 minutes of dataset. (Will update the model in the future when its 1 hour long) |
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- New model will be created using v2 training, I'm no longer making v1 model. |
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Have a request?<br /> |
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I accept genshin character request if you want it. |
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Other request outside playable character:<br /> |
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- Greater Lord Rukkhadevata: 750 Epochs, 16 Batch size, 48k Sample rate. (10 minutes dataset) |
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- Charlotte: 400 Epochs, 16 Batch size, 48k Sample rate. (18 minutes dataset) |
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- La Signora 1k Epochs, 16 Batch size, 48k Sample rate. (8 minutes dataset) |
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## <center> Model Training Information |
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### V1 Model Training <br /> |
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##### This was trained on Original RVC. |
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Pitch Extract using Harvest.<br /> |
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This model was trained with 100 epochs, 10 batch sizes, and a 40K sample rate (some models had a 48k sample rate). |
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Every V1 model was trained more or less around 30 minutes of character voice. |
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### V2 Model Training <br /> |
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##### This was trained on Mangio-Fork RVC. |
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Pitch Extract using Crepe.<br /> |
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This model was trained with 100 epochs, 8 batch sizes, and a 48K sample rate. (some models had a 40k sample rate). |
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Every V2 model was trained more or less around 60 minutes of character voice. |
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## Warning |
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I'm not responsible for the output of this model. |
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Use wisely. |
