48k禦姐音，免費放送。48k mature female voice, free to stream

這波模型放給大家，是一個少禦音，利用SPIN重新構建的一個48k底模訓練而成。

目前放出來的是還沒有完全跑完的預訓練模型訓練的模型，在測試中，我們使用相同的一段數據進行測試模型ContentVec對比SPIN，它的確會在某些地方改變啞音以及高音，由於沒有完全跑完，我們不確定它最後的效果如何。

推理模型你不需要改變任何原始rvc來進行。

（This model, which we’re releasing now, features a reduced level of speech control and is trained using a 48k base model reconstructed using SPIN.

SPIN is based on a self-supervised learning framework and employs innovative speaker perturbation and noise invariance training strategies to more effectively decouple speech content from speaker features. Its core advantages are:
1. Training efficiency: Compared to ContentVec, SPIN converges faster and requires fewer computational resources.

2. Representation quality: It performs better in terms of speaker similarity and speech naturalness.

3. Noise robustness: It has better resistance to background noise.

The model currently being released is a pre-trained version that hasn’t been fully run. In testing, we compared the ContentVec model with SPIN using the same dataset. It does indeed alter muffled and high-pitched sounds in some places. Since it hasn’t been fully run, we’re unsure of its final performance.

For the inference model, you don’t need to modify any of the original RVC.）