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See "Synthesize from a checkpoint" section in the README for how to generate speech samples. Please make sure that you are on the specific git commit noted above.
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To use pre-trained models, it's highly recommended that you are on the **specific git commit** noted above. i.e.,
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```
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git checkout ${commit_hash}
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```
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Then follow the "Synthesize from a checkpoint" section in the README of the specific git commit. Please notice that the latest development version of the repository may not work.
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You could try for example:
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```
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# pretrained model (20180505_deepvoice3_checkpoint_step000640000.pth)
When this is done, you will see extracted features (mel-spectrograms and linear spectrograms) in `./data/ljspeech`.
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#### 1-1. Building custom dataset. (using json_meta)
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Building your own dataset, with metadata in JSON format (compatible with [carpedm20/multi-speaker-tacotron-tensorflow](https://github.com/carpedm20/multi-Speaker-tacotron-tensorflow)) is currently supported.
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Building your own dataset, with metadata in JSON format (compatible with [carpedm20/multi-speaker-tacotron-tensorflow](https://github.com/carpedm20/multi-Speaker-tacotron-tensorflow)) is currently supported.
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