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Update README.md

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zhaokexin01 2020-03-06 08:52:43 +08:00
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examples/clarinet/README.md
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@ -42,10 +42,10 @@ optional arguments:
--wavenet WAVENET wavenet checkpoint to use.
```
1. `--config` is the configuration file to use. The provided configurations 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 result are saved in this directory. The structure of the output directory is shown below.
- `--config` is the configuration file to use. The provided configurations 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 result are saved in this directory. The structure of the output directory is shown below.
```text
├── checkpoints # checkpoint
@ -53,8 +53,8 @@ optional arguments:
└── log # tensorboard log
```
5. `--device` is the device (gpu id) to use for training. `-1` means CPU.
6. `--wavenet` is the path of the wavenet checkpoint to load. If you do not specify `--resume`, then this must be provided.
- `--device` is the device (gpu id) to use for training. `-1` means CPU.
- `--wavenet` is the path of the wavenet checkpoint to load. If you do not specify `--resume`, then this must be provided.
Before you start training a ClariNet model, you should have trained a WaveNet model with single Gaussian output distribution. Make sure the config of the teacher model matches that of the trained model.
@ -90,11 +90,11 @@ optional arguments:
--data DATA path of LJspeech dataset.
```
1. `--config` is the configuration file to use. You should use the same configuration with which you train you model.
2. `--data` is the path of the LJspeech dataset. A dataset is not needed for synthesis, but since the input is mel spectrogram, we need to get mel spectrogram from audio files.
3. `checkpoint` is the checkpoint to load.
4. `output_path` is the directory to save results. The output path contains the generated audio files (`*.wav`).
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.
- `--data` is the path of the LJspeech dataset. A dataset is not needed for synthesis, but since the input is mel spectrogram, we need to get mel spectrogram from audio files.
- `checkpoint` is the checkpoint to load.
- `output_path` is the directory to save results. The output path contains the generated audio files (`*.wav`).
- `--device` is the device (gpu id) to use for training. `-1` means CPU.
Example script: