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--- |
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license: mit |
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language: |
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- ja |
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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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--- |
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# <center> RVC Genshin Impact Japanese Voice Model<br /> |
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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:<br /> |
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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 <br /> |
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Model Created by ArkanDash <br /> |
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The voice that was used in this model belongs to Hoyoverse. |
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The voice I make to make this model was ripped from the game (3.7). <br /> |
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Total Models: 34 Models (19 V1 Models & 15 V2 Models) |
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Plans: <br /> |
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- Nahida V2 RVC |
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- Zhongli V2 RVC |
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Replace: |
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- Raiden Shogun model is now replaced with newer dataset due to bad voice from older model, The old model is now deleted. |
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### V1 Model <br /> |
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This was trained on Original RVC.<br /> |
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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).<br /> |
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Every V1 model was trained more or less around 30 minutes of character voice. |
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I may exclude some models to higher epochs due to the low duration of the character's voice.<br /> |
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- Klee 150 Epochs |
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- Fischl 150 Epochs |
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### (New) V2 Model <br /> |
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This was trained on Mangio-Fork RVC.<br /> |
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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).<br /> |
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Every V2 model was trained more or less around 60 minutes of character voice. |
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Other request:<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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Note: |
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- For faruzan, somehow the index file is smaller, But it output a log when training here: <br /> |
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`Converged (lack of improvement in inertia) at step 1152/48215` <br /> |
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I might retrain faruzan soon. |
