Update README.md
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@ -52,10 +52,10 @@ optional arguments:
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device to use
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```
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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.
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2. `--data` is the path of the LJSpeech dataset, the extracted folder from the downloaded archive (the folder which contains metadata.txt).
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3. `--resume` is the path of the checkpoint. If it is provided, the model would load the checkpoint before trainig.
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4. `--output` is the directory to save results, all results are saved in this directory. The structure of the output directory is shown below.
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- `--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.
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- `--data` is the path of the LJSpeech dataset, the extracted folder from the downloaded archive (the folder which contains metadata.txt).
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- `--resume` is the path of the checkpoint. If it is provided, the model would load the checkpoint before trainig.
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- `--output` is the directory to save results, all results are saved in this directory. The structure of the output directory is shown below.
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```text
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├── checkpoints # checkpoint
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@ -67,7 +67,7 @@ optional arguments:
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└── waveform # waveform (.wav files)
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```
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5. `--device` is the device (gpu id) to use for training. `-1` means CPU.
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- `--device` is the device (gpu id) to use for training. `-1` means CPU.
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Example script:
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@ -101,11 +101,11 @@ optional arguments:
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device to use
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```
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1. `--config` is the configuration file to use. You should use the same configuration with which you train you model.
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2. `checkpoint` is the checkpoint to load.
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3. `text`is the text file to synthesize.
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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.
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5. `--device` is the device (gpu id) to use for training. `-1` means CPU.
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- `--config` is the configuration file to use. You should use the same configuration with which you train you model.
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- `checkpoint` is the checkpoint to load.
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- `text`is the text file to synthesize.
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- `output_path` is the directory to save results. The output path contains the generated audio files (`*.wav`) and attention plots (*.png) for each sentence.
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- `--device` is the device (gpu id) to use for training. `-1` means CPU.
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Example script:
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