DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code
# DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism
This repository is the official PyTorch implementation of our AAAI-2022 [paper](https://arxiv.org/abs/2105.02446), in which we propose DiffSinger (for Singing-Voice-Synthesis) and DiffSpeech (for Text-to-Speech).
:tada: :tada: :tada: **Updates**:
- Sep.11, 2022: :electric_plug: [DiffSinger-PN](docs/README-SVS-opencpop-pndm.md). Add plug-in [PNDM](https://arxiv.org/abs/2202.09778), ICLR 2022 in our laboratory, to accelerate DiffSinger freely.
- Jul.27, 2022: Update documents for [SVS](docs/README-SVS.md). Add easy inference [A](docs/README-SVS-opencpop-cascade.md#4-inference-from-raw-inputs) & [B](docs/README-SVS-opencpop-e2e.md#4-inference-from-raw-inputs); Add Interactive SVS running on [HuggingFace SVS](https://huggingface.co/spaces/Silentlin/DiffSinger).
- Mar.2, 2022: MIDI-B-version.
- Mar.1, 2022: [NeuralSVB](https://github.com/MoonInTheRiver/NeuralSVB), for singing voice beautifying, has been released.
- Feb.13, 2022: [NATSpeech](https://github.com/NATSpeech/NATSpeech), the improved code framework, which contains the implementations of DiffSpeech and our NeurIPS-2021 work [PortaSpeech](https://openreview.net/forum?id=xmJsuh8xlq) has been released.
- Jan.29, 2022: support MIDI-A-version SVS.
- Jan.13, 2022: support SVS, release PopCS dataset.
- Dec.19, 2021: support TTS. [HuggingFace TTS](https://huggingface.co/spaces/NATSpeech/DiffSpeech)
:rocket: **News**:
- Feb.24, 2022: Our new work, NeuralSVB was accepted by ACL-2022 [](https://arxiv.org/abs/2202.13277). [Demo Page](https://neuralsvb.github.io).
- Dec.01, 2021: DiffSinger was accepted by AAAI-2022.
- Sep.29, 2021: Our recent work `PortaSpeech: Portable and High-Quality Generative Text-to-Speech` was accepted by NeurIPS-2021 [](https://arxiv.org/abs/2109.15166) .
- May.06, 2021: We submitted DiffSinger to Arxiv [](https://arxiv.org/abs/2105.02446).
## Environments
1. If you want to use env of anaconda:
```sh
conda create -n your_env_name python=3.8
source activate your_env_name
pip install -r requirements_2080.txt (GPU 2080Ti, CUDA 10.2)
or pip install -r requirements_3090.txt (GPU 3090, CUDA 11.4)
```
2. Or, if you want to use virtual env of python:
```sh
## Install Python 3.8 first.
python -m venv venv
source venv/bin/activate
# install requirements.
pip install -U pip
pip install Cython numpy==1.19.1
pip install torch==1.9.0
pip install -r requirements.txt
```
## Documents
- [Run DiffSpeech (TTS version)](docs/README-TTS.md).
- [Run DiffSinger (SVS version)](docs/README-SVS.md).
## Overview
| Mel Pipeline | Dataset | Pitch Input | F0 Prediction | Acceleration Method | Vocoder |
| ------------------------------------------------------------------------------------------- | ---------------------------------------------------------| ----------------- | ------------- | --------------------------- | ----------------------------- |
| [DiffSpeech (Text->F0, Text+F0->Mel, Mel->Wav)](docs/README-TTS.md) | [Ljspeech](https://keithito.com/LJ-Speech-Dataset/) | None | Explicit | Shallow Diffusion | HiFiGAN |
| [DiffSinger (Lyric+F0->Mel, Mel->Wav)](docs/README-SVS-popcs.md) | [PopCS](https://github.com/MoonInTheRiver/DiffSinger) | Ground-Truth F0 | None | Shallow Diffusion | NSF-HiFiGAN |
| [DiffSinger (Lyric+MIDI->F0, Lyric+F0->Mel, Mel->Wav)](docs/README-SVS-opencpop-cascade.md) | [OpenCpop](https://wenet.org.cn/opencpop/) | MIDI | Explicit | Shallow Diffusion | NSF-HiFiGAN |
| [FFT-Singer (Lyric+MIDI->F0, Lyric+F0->Mel, Mel->Wav)](docs/README-SVS-opencpop-cascade.md) | [OpenCpop](https://wenet.org.cn/opencpop/) | MIDI | Explicit | Invalid | NSF-HiFiGAN |
| [DiffSinger (Lyric+MIDI->Mel, Mel->Wav)](docs/README-SVS-opencpop-e2e.md) | [OpenCpop](https://wenet.org.cn/opencpop/) | MIDI | Implicit | None | Pitch-Extractor + NSF-HiFiGAN |
| [DiffSinger+PNDM (Lyric+MIDI->Mel, Mel->Wav)](docs/README-SVS-opencpop-pndm.md) | [OpenCpop](https://wenet.org.cn/opencpop/) | MIDI | Implicit | PLMS | Pitch-Extractor + NSF-HiFiGAN |
| [DiffSpeech+PNDM (Text->Mel, Mel->Wav)](docs/README-TTS-pndm.md) | [Ljspeech](https://keithito.com/LJ-Speech-Dataset/) | None | Implicit | PLMS | HiFiGAN |
## Tensorboard
```sh
tensorboard --logdir_spec exp_name
```
## Citation
@article{liu2021diffsinger,
title={Diffsinger: Singing voice synthesis via shallow diffusion mechanism},
author={Liu, Jinglin and Li, Chengxi and Ren, Yi and Chen, Feiyang and Liu, Peng and Zhao, Zhou},
journal={arXiv preprint arXiv:2105.02446},
volume={2},
year={2021}}
## Acknowledgements
* lucidrains' [denoising-diffusion-pytorch](https://github.com/lucidrains/denoising-diffusion-pytorch)
* Official [PyTorch Lightning](https://github.com/PyTorchLightning/pytorch-lightning)
* kan-bayashi's [ParallelWaveGAN](https://github.com/kan-bayashi/ParallelWaveGAN)
* jik876's [HifiGAN](https://github.com/jik876/hifi-gan)
* Official [espnet](https://github.com/espnet/espnet)
* lmnt-com's [DiffWave](https://github.com/lmnt-com/diffwave)
* keonlee9420's [Implementation](https://github.com/keonlee9420/DiffSinger).
Especially thanks to:
* Team Openvpi's maintenance: [DiffSinger](https://github.com/openvpi/DiffSinger).
* Your re-creation and sharing.