@ -19,6 +19,7 @@ Run the command below to
4. synthesize wavs.
4. synthesize wavs.
- synthesize waveform from `metadata.jsonl` .
- synthesize waveform from `metadata.jsonl` .
- synthesize waveform from text file.
- synthesize waveform from text file.
5. inference using static model.
```bash
```bash
./run.sh
./run.sh
```
```
@ -189,6 +190,13 @@ optional arguments:
5. `--output-dir` is the directory to save synthesized audio files.
5. `--output-dir` is the directory to save synthesized audio files.
6. `--device is` the type of device to run synthesis, 'cpu' and 'gpu' are supported. 'gpu' is recommended for faster synthesis.
6. `--device is` the type of device to run synthesis, 'cpu' and 'gpu' are supported. 'gpu' is recommended for faster synthesis.
### Inference
After Synthesize, we will get static models of fastspeech2 and pwgan in `${train_output_path}/inference` .
`./local/inference.sh` calls `${BIN_DIR}/inference.py` , which provides a paddle static model inference example for fastspeech2 + pwgan synthesize.
```bash
CUDA_VISIBLE_DEVICES=${gpus} ./local/inference.sh ${train_output_path}
```
## Pretrained Model
## Pretrained Model
Pretrained FastSpeech2 model with no silence in the edge of audios. [fastspeech2_nosil_baker_ckpt_0.4.zip ](https://paddlespeech.bj.bcebos.com/Parakeet/fastspeech2_nosil_baker_ckpt_0.4.zip )
Pretrained FastSpeech2 model with no silence in the edge of audios. [fastspeech2_nosil_baker_ckpt_0.4.zip ](https://paddlespeech.bj.bcebos.com/Parakeet/fastspeech2_nosil_baker_ckpt_0.4.zip )