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license: apache-2.0 |
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tags: |
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- voice-changer |
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- rvc |
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- spin |
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- f0-categorized |
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- non-speech |
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- pretrained-model |
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datasets: |
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- custom |
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language: |
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- multilingual |
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--- |
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# 🔊 KLM BlackTone Large (Pretrained Voice Changer Model) |
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**KLM BlackTone Large** is a pretrained model for real-time **voice conversion**, built using the **Spin Embedder**. It was trained on a massive dataset of over **11,000 hours** from **595 speakers**, carefully categorized by **F0 range** |
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## 🚀 Requirements |
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To use this model **without errors**, you **must** use **Applio v3.2.9 or later**, specifically versions **updated after July 15**. |
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Even if your Applio version is labeled 3.2.9, models updated **before** July 15 may still result in `mismatch` errors. |
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## 🌟 Key Features |
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- ✅ **595 F0-Categorized Speakers** |
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- ✅ **11,000+ hours of curated training data** |
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- ✅ **Spin Embedder** for flexible and generalizable voice transfer |
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- ✅ Real-time inference support |
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- ✅ Extensive support for **non-verbal sounds** such as: |
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- **Coughs** |
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- **Laughter** |
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- **Whispers** |
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- And other expressive human vocal behaviors |
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These features are made possible by including a large proportion of **non-speech data** in the training set. |
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## 📊 Recommended Usage |
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To fully utilize BlackTone’s capabilities—especially non-speech inference—you should include **10–20% non-speech data** in your fine-tuning dataset. |
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If you **do not** have such data, you can try setting the **Feature Index** to `0`, which may enable limited inference of non-verbal sounds. However, **non-speech training data is highly recommended** for best results. |
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## 📎 License |
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Apache 2.0 |
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--- |
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## 📫 Contact |
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For usage reports, contributions, or collaborations, please open an issue or contact the model maintainer. |
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