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Author SHA1 Message Date
Miuzarte 6a6e81932a Update README.md 2023-03-13 20:06:10 +08:00
红血球AE3803 58865936d6
Merge pull request #17 from Kerushii/patch-1
address issues
2023-03-13 20:48:25 +09:00
Teresa 0d859e27fc
address issues
https://github.com/StarStringStudio/so-vits-svc/issues/15
2023-03-13 00:12:56 -07:00
2 changed files with 3 additions and 3 deletions

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@ -17,7 +17,7 @@
## Model Introduction
The singing voice conversion model uses SoftVC content encoder to extract source audio speech features, and inputs them together with F0 into VITS instead of the original text input to achieve the effect of song conversion. At the same time, the vocoder is changed to [NSF HiFiGAN](https://github.com/openvpi/DiffSinger/tree/refactor/modules/nsf_hifigan) to solve the problem of sound interruption.
The singing voice conversion model uses SoftVC content encoder to extract source audio speech features, then the vectors are directly fed into VITS instead of converting to a text based intermediate; thus the pitch and intonations are conserved. Additionally, the vocoder is changed to [NSF HiFiGAN](https://github.com/openvpi/DiffSinger/tree/refactor/modules/nsf_hifigan) to solve the problem of sound interruption.
### 4.0 Version Update Content
@ -145,7 +145,7 @@ The existing steps before clustering do not need to be changed. All you need to
- Specify "cluster_model_path" in inference_main.
- Specify "cluster_infer_ratio" in inference_main, where 0 means not using clustering at all, 1 means only using clustering, and usually 0.5 is sufficient.
### [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1kv-3y2DmZo0uya8pEr1xk7cSB-4e_Pct?usp=sharing) [sovits4 for colab.ipynb](https://colab.research.google.com/drive/1kv-3y2DmZo0uya8pEr1xk7cSB-4e_Pct?usp=sharing)
### [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1kv-3y2DmZo0uya8pEr1xk7cSB-4e_Pct?usp=sharing) [sovits4_for_colab.ipynb](https://colab.research.google.com/drive/1kv-3y2DmZo0uya8pEr1xk7cSB-4e_Pct?usp=sharing)
## Exporting to Onnx

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@ -142,7 +142,7 @@ python inference_main.py -m "logs/44k/G_30400.pth" -c "configs/config.json" -n "
+ inference_main中指定cluster_model_path
+ inference_main中指定cluster_infer_ratio0为完全不使用聚类1为只使用聚类通常设置0.5即可
### [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1kv-3y2DmZo0uya8pEr1xk7cSB-4e_Pct?usp=sharing) [sovits4 for colab.ipynb](https://colab.research.google.com/drive/1kv-3y2DmZo0uya8pEr1xk7cSB-4e_Pct?usp=sharing)
### [![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1kv-3y2DmZo0uya8pEr1xk7cSB-4e_Pct?usp=sharing) [sovits4_for_colab.ipynb](https://colab.research.google.com/drive/1kv-3y2DmZo0uya8pEr1xk7cSB-4e_Pct?usp=sharing)
## Onnx导出