AD Senior: Warm and mature voice RVC model
Inference Comparison
After Inference
Model Introduction
Please note that version V3 is Cn_hubert version, so strictly follow the https://klrvc.com/zh/tutorial/3714 tutorial to deploy the model.
Update: 20251201
This update mainly focuses on optimizing Cn_Hubert self-supervision features and improving the 48k sampling rate. You need to strictly follow the instructions above to perform the replacement operation.
v3 is a new version that requires replacing the Hubert file. Follow the instructions above.
The old version was En_Hubert, and the two are not interchangeable.
——————————————————————— ——–
The original dataset of this model comes from the uploader AD senior
This dataset processed a 20-minute dry voice dataset + fusion singing dataset, meaning we found an author with a similar tone to the AD senior and asked him to provide a model that fused dry vocals from several singing parts.
About mature voices: If you need to sing, choose low, gentle songs. Other songs don't work well, but chatting is great.
This is the first time Miaoyin has fused two different datasets into a single model. After testing multiple songs, the results are excellent. Although the mature voice doesn't have a very wide range, its tone at this stage is still excellent.
No reasoning has been
made <!--[if lt IE 9]>document.createElement('audio');<![endif]-->After reasoning
Singing performance
parameters
Tone change: 0
Singing: Support
Language: Medium
Algorithm: rmvpe
Training: 200
Sampling rate: 44K
training log
![Image [1]-Miaoyin-RVC Tone Model Workshop](https://apis.klrvc.com/wp-content/uploads/2024/08/20240825140537802-WX20240825-110026-300x215.png)
User 35312345
Version Details
Recommended Parameters
Related Models
Keywords
Comments
No comments yet

