1.`--config` is the configuration file to use. The provided `ljspeech.yaml` can be used directly. And you can change some values in the configuration file and train the model with a different config.
2.`--data` is the path of the LJSpeech dataset, the extracted folder from the downloaded archive (the folder which contains metadata.txt).
3.`--resume` is the path of the checkpoint. If it is provided, the model would load the checkpoint before trainig.
4.`--output` is the directory to save results, all results are saved in this directory. The structure of the output directory is shown below.
-`--config` is the configuration file to use. The provided `ljspeech.yaml` can be used directly. And you can change some values in the configuration file and train the model with a different config.
-`--data` is the path of the LJSpeech dataset, the extracted folder from the downloaded archive (the folder which contains metadata.txt).
-`--resume` is the path of the checkpoint. If it is provided, the model would load the checkpoint before trainig.
-`--output` is the directory to save results, all results are saved in this directory. The structure of the output directory is shown below.
```text
├── checkpoints # checkpoint
...
...
@@ -67,7 +67,7 @@ optional arguments:
└── waveform # waveform (.wav files)
```
5.`--device` is the device (gpu id) to use for training. `-1` means CPU.
-`--device` is the device (gpu id) to use for training. `-1` means CPU.
Example script:
...
...
@@ -101,11 +101,11 @@ optional arguments:
device to use
```
1.`--config` is the configuration file to use. You should use the same configuration with which you train you model.
2.`checkpoint` is the checkpoint to load.
3.`text`is the text file to synthesize.
4.`output_path` is the directory to save results. The output path contains the generated audio files (`*.wav`) and attention plots (*.png) for each sentence.
5.`--device` is the device (gpu id) to use for training. `-1` means CPU.
-`--config` is the configuration file to use. You should use the same configuration with which you train you model.
-`checkpoint` is the checkpoint to load.
-`text`is the text file to synthesize.
-`output_path` is the directory to save results. The output path contains the generated audio files (`*.wav`) and attention plots (*.png) for each sentence.
-`--device` is the device (gpu id) to use for training. `-1` means CPU.
