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.gitignore

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LibriTTS/
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dataset/
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mfa/
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kss

examples/fastspeech2/conf/fastspeech2.v2.baker.yaml renamed to examples/fastspeech2/conf/fastspeech2.baker.v2.yaml

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# This is the hyperparameter configuration file for FastSpeech2 v2.
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# the different of v2 and v1 is that v2 apply linformer technique.
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# Please make sure this is adjusted for the LJSpeech dataset. If you want to
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# Please make sure this is adjusted for the Baker dataset. If you want to
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# apply to the other dataset, you might need to carefully change some parameters.
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# This configuration performs 200k iters but a best checkpoint is around 150k iters.
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examples/multiband_melgan/conf/multiband_melgan.v1.baker.yaml renamed to examples/multiband_melgan/conf/multiband_melgan.baker.v1.yaml

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# This is the hyperparameter configuration file for Multi-Band MelGAN.
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# Please make sure this is adjusted for the LJSpeech dataset. If you want to
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# Please make sure this is adjusted for the Baker dataset. If you want to
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# apply to the other dataset, you might need to carefully change some parameters.
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# This configuration performs 1000k iters.
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examples/tacotron2/conf/tacotron2.v1.baker.yaml renamed to examples/tacotron2/conf/tacotron2.baker.v1.yaml

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# This is the hyperparameter configuration file for Tacotron2 v1.
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# Please make sure this is adjusted for the LJSpeech dataset. If you want to
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# Please make sure this is adjusted for the Baker dataset. If you want to
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# apply to the other dataset, you might need to carefully change some parameters.
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# This configuration performs 200k iters but 65k iters is enough to get a good models.
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