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--- |
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license: cc-by-nc-sa-4.0 |
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language: |
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- en |
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- pt |
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- es |
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- zh |
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- nl |
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- fr |
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- de |
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- it |
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- ja |
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- pl |
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pipeline_tag: audio-to-audio |
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tags: |
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- audio |
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- voice |
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- voice conversion |
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- singing voice conversion |
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- vc |
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- svc |
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- multilingual |
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--- |
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# FreeSVC: Zero-shot Multilingual Singing Voice Conversion |
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**FreeSVC** is a promising multilingual zero-shot singing voice conversion model. It enables the conversion of singing voices across languages without the need for extensive language-specific training. [GitHub repository](https://github.com/freds0/free-svc). [Paper arXiv pre-print](https://arxiv.org/abs/2501.05586). |
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## Supported Languages |
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| Language | ID | Status | Speech Data | Singing Data | |
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|------------|-----|--------------|-------------|--------------| |
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| Chinese | 0 | β
Full | 255h | 70h | |
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| Dutch | 1 | β
Full | Part of CML | - | |
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| English | 2 | β
Full | 921h | 47h | |
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| French | 3 | β
Full | Part of CML | - | |
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| German | 4 | β
Full | Part of CML | - | |
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| Italian | 5 | β
Full | Part of CML | - | |
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| Japanese | 6 | β
Full | 30h | - | |
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| Other* | 7 | β οΈ Partial | - | 10h | |
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| Polish | 8 | β
Full | Part of CML | - | |
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| Portuguese | 9 | β
Full | Part of CML | - | |
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| Spanish | 10 | β
Full | Part of CML | - | |
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*Note: The "Other" category is used for vocal techniques without content. |
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## Model Overview |
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FreeSVC leverages an enhanced VITS architecture integrated with Speaker-invariant Clustering (SPIN) and the ECAPA2 speaker encoder. This combination effectively separates speaker characteristics from linguistic content, ensuring high-quality and natural-sounding voice conversions across multiple languages. |
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## Training Datasets |
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FreeSVC was trained on a diverse set of speech and singing datasets covering multiple languages: |
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| **Dataset** | **Hours** | **Language** | **Type** | |
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|----------------------|------------|--------------|--------------| |
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| AISHELL-1 | 170h | Chinese | Speech | |
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| AISHELL-3 | 85h | Chinese | Speech | |
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| CML-TTS | 3.1k | 7 Languages | Speech | |
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| HiFiTTS | 292h | English | Speech | |
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| JVS | 30h | Japanese | Speech | |
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| LibriTTS-R | 585h | English | Speech | |
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| NUS (NHSS) | 7h | English | Speech, Singing | |
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| OpenSinger | 50h | Chinese | Singing | |
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| Opencpop | 5h | Chinese | Singing | |
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| PopBuTFy | 10h, 40h | Chinese, English | Singing | |
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| POPCS | 5h | Chinese | Singing | |
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| VCTK | 44h | English | Speech | |
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| VocalSet | 10h | Other | Singing | |
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## License |
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FreeSVC is released under the **Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)** license. This means: |
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- The model **can only be used for research and non-commercial purposes**. Any commercial use is strictly prohibited. |
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- Any derivative works must be **shared under the same license**. |
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- Proper attribution must be given when using the model. |
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Users must also **comply with the licenses of the original datasets** used for training. Some datasets may have additional restrictions beyond CC BY-NC-SA 4.0. Ensure you review and adhere to their terms before using the model. |
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For full details, refer to the [CC BY-NC-SA 4.0 License](https://creativecommons.org/licenses/by-nc-sa/4.0/). |
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## Citation |
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``` |
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@INPROCEEDINGS{10890068, |
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author={Ferreira, Alef Iury and Gris, Lucas Rafael and Da Rosa, Augusto and Oliveira, Frederico and Casanova, Edresson and Sousa, Rafael and Junior, Arnaldo and Soares, Anderson and Filho, Arlindo GalvΓ£o}, |
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booktitle={ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, |
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title={FreeSVC: Towards Zero-shot Multilingual Singing Voice Conversion}, |
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year={2025}, |
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volume={}, |
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number={}, |
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pages={1-5}, |
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keywords={Training;Source coding;Zero shot learning;Refining;Signal processing;Data models;Acoustics;Multilingual;Data mining;Speech synthesis;Singing Voice Conversion;Synthesis of Singing Voices;Cross-lingual and multilingual aspects in speech synthesis}, |
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doi={10.1109/ICASSP49660.2025.10890068}} |
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``` |