Create README.md

README.md

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+---
+language:
+- zh
+tags:
+- rvc
+metrics:
+- accuracy
+---
+# <center> RVC Genshin Impact Japanese Voice Model<br />
+![model-cover.png](https://huggingface.co/ArkanDash/rvc-genshin-impact/resolve/main/model-cover.png)
+
+# About Retrieval based Voice Conversion (RVC)
+Learn more about Retrieval based Voice Conversion in this link below:<br />
+[RVC WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI)
+
+# How to use? 
+Download the prezipped model and put to your RVC Project.
+
+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)
+
+
+## <center> INFO <br />
+Model Created by ArkanDash <br />
+The voice that was used in this model belongs to Hoyoverse.
+
+The voice I make to make this model was ripped from the game (3.7). <br />
+Total Models: 28 Models (19 V1 Models & 9 V2 Models)
+
+### V1 Model <br />
+This was trained on Original RVC.<br />
+Pitch Extract using Harvest.<br />
+This model was trained with 100 epochs, 10 batch sizes, and a 40K sample rate (some models had a 48k sample rate).<br />
+Every V1 model was trained more or less around 30 minutes of character voice.
+
+I may exclude some models to higher epochs due to the low duration of the character's voice.<br />
+- Klee 150 Epochs
+- Fischl 150 Epochs
+
+### (New) V2 Model <br />
+This was trained on Mangio-Fork RVC.<br />
+Pitch Extract using Crepe.<br />
+This model was trained with 100 epochs, 8 batch sizes, and a 48K sample rate. (some models had a 40k sample rate).<br />
+Every V2 model was trained more or less around 60 minutes of character voice.
+
+Other request:<br />
+- Greater Lord Rukkhadevata: 750 Epochs, 16 Batch size, 48k Sample rate. (10 minutes dataset)
+- Charlotte: 400 Epochs, 16 Batch size, 48k Sample rate. (18 minutes dataset)
+
+Note:
+- For faruzan, somehow the index file is smaller, But it output a log when training here: <br />
+`Converged (lack of improvement in inertia) at step 1152/48215` <br />
+Let me know if you have an issue.