This is a refactored and enhanced version of DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism based on the original paper and implementation, which provides:
- Cleaner code structure: useless and redundant files are removed and the others are re-organized.
- Better sound quality: the sampling rate of synthesized audio are adapted to 44.1 kHz instead of the original 24 kHz.
- Higher fidelity: improved acoustic models and diffusion sampling acceleration algorithms are integrated.
- More controllability: introduced variance models and parameters for prediction and control of pitch, energy, breathiness, etc.
- Production compatibility: functionalities are designed to match the requirements of production deployment and the SVS communities.
| Overview | Variance Model | Acoustic Model |
|---|---|---|
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- Installation & basic usages: See Getting Started
- Dataset creation pipelines & tools: See MakeDiffSinger
- Best practices & tutorials: See Best Practices
- Editing configurations: See Configuration Schemas
- Deployment & production: OpenUTAU for DiffSinger, DiffScope (under development)
- Communication groups: QQ Group (907879266), Discord server
- Progress since we forked into this repository: See Releases
- Roadmap for future releases: See Project Board
- Thoughts, proposals & ideas: See Discussions
TBD
TBD
- Paper: DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
- Implementation: MoonInTheRiver/DiffSinger
- Denoising Diffusion Probabilistic Models (DDPM): paper, implementation
- DDIM for diffusion sampling acceleration
- PNDM for diffusion sampling acceleration
- DPM-Solver++ for diffusion sampling acceleration
- UniPC for diffusion sampling acceleration
- Rectified Flow (RF): paper, implementation
- HiFi-GAN and NSF for waveform reconstruction
- pc-ddsp for waveform reconstruction
- RMVPE and yxlllc's fork for pitch extraction
Any organization or individual is prohibited from using any functionalities included in this repository to generate someone's speech without his/her consent, including but not limited to government leaders, political figures, and celebrities. If you do not comply with this item, you could be in violation of copyright laws.
This forked DiffSinger repository is licensed under the Apache 2.0 License.
This is the original Readme content of the forked repository openvpi/DiffSinger at the time of the fork.
以上是被 fork 的仓库：openvpi/DiffSinger 在被 fork 时保留的原 Readme 内容。
Here is the Readme content of leisquid/DiffSinger.
以下是 leisquid/DiffSinger 的 Readme 内容。
If I just forked this repo, I'm not contributing anything to the project. But the only thing I'm afraid of is that something I like, love, or just care about suddenly disappears and I'll be able to find it nowhere, so it's better to own it ahead of time.
如果只是 fork 仓库的话，那么我对这个项目没有任何贡献。但是我就唯独害怕自己喜欢、钟爱、或者只是自己关心的东西突然消失不见，而且到处找不到，不如提前拿到自己的手里更安心。
It is also a response to the attitude of some particular commercial company.
也是对某家商业公司态度的回应。
If I need to use or modify this project in the future, it will continue to be licensed under the Apache 2.0 License for the unchanged parts of openvpi/DiffSinger, and under the GNU Affero General Public License for the modified parts of leisquid/DiffSinger, and changes will be declared on ./CHANGES.md. See ./LICENSE.
如果以后我将需要使用或修改此项目，那么对于 openvpi/DiffSinger 中未更改的部分，将继续采用 Apache 2.0 License 授权；而对于 leisquid/DiffSinger 中修改的部分，采用 GNU Affero General Public License 授权，并且会在 ./CHANGES.md 声明变更。详见 ./LICENSE。
Thanks.
感谢。
leisquid
24.1.11