Chiikawa (chiikawa) Hachi-Kohachi RVC model
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Updated: 26/07/01Published: 24/10/04
Inference Comparison
After Inference
0:000:00
Model Introduction
This is the Xiaoba version RVC model. If you need a GPT model, you can click the link below, which I also created myself.
The original dataset for Xiao Ba was written in Japanese, and after repeated generation and reasoning in Mandarin, this model was obtained. The model performs very well both in Mandarin and Japanese, and the original dataset is very large. Finally, I will include a roughly 30-minute Xiao Ba dataset (a pre-processed dataset) for everyone to download and create other types of models.
Note: Due to your own original timbre, please adjust the pitch to achieve the best effect.
No reasoning has been
made <!--[if lt IE 9]>document.createElement('audio');<![endif]-->After reasoning
Japanese text has not yet been reasoned
After reasoning
sing
parameters
Tone change: 0
Algorithm: rmvpe
Singing: Support
Languages: Chinese/Japanese
Training: 200
Sampling rate: 44K
training log
![Image[1]-Miaoyin-RVC Tone Model Workshop](https://apis.klrvc.com/wp-content/uploads/2024/10/9227b4d4c520241004172304-300x189.png)
Version Details
OriginalYes
AlgorithmRmvpe
CapabilitySupport
LanguageMandarin
Sample Rate44K
Recommended Parameters
Threshold0.25
Pitch0
Index Rate0.75
Volume Factor1.25
Sample Length192
Harvest Processes2
Fade Length100
Extra Inference Time500
infoFor reference only, adjust according to your input!
Related Models
No related models
Keywords
#chiikawa#rvc#Download#Two-dimensional#Lovely#Jiikawa#Xiao Ba#Model#Childhood voice
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