PortaSpeech / docs /fastspeech2.md
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# Run FastSpeech 2
## Quick Start
### Install Dependencies
Install dependencies following [readme.md](../readme.md)
### Set Config Path and Experiment Name
```bash
export CONFIG_NAME=egs/datasets/audio/lj/fs2_orig.yaml
export MY_EXP_NAME=fs2_exp
```
### Preprocess and binary dataset
Prepare dataset following [prepare_data.md](./prepare_data.md)
### Prepare Vocoder
Prepare vocoder following [prepare_vocoder.md](./prepare_vocoder.md)
## Training
```bash
CUDA_VISIBLE_DEVICES=0 python tasks/run.py --config $CONFIG_NAME --exp_name $MY_EXP_NAME --reset
```
You can check the training and validation curves open Tensorboard via:
```bash
tensorboard --logdir checkpoints/$MY_EXP_NAME
```
## Inference (Testing)
```bash
CUDA_VISIBLE_DEVICES=0 python tasks/run.py --config $CONFIG_NAME --exp_name $MY_EXP_NAME --infer
```
## Citation
If you find this useful for your research, please use the following.
```
@inproceedings{ren2020fastspeech,
title={FastSpeech 2: Fast and High-Quality End-to-End Text to Speech},
author={Ren, Yi and Hu, Chenxu and Tan, Xu and Qin, Tao and Zhao, Sheng and Zhao, Zhou and Liu, Tie-Yan},
booktitle={International Conference on Learning Representations},
year={2020}
}
```