update configs for wavenet
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@ -23,7 +23,7 @@ The model consists of an encoder, a decoder and a converter (and a speaker embed
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```text
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├── data.py data_processing
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├── configs/ (example) configuration files
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├── configs/ (example) configuration files
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├── sentences.txt sample sentences
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├── synthesis.py script to synthesize waveform from text
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├── train.py script to train a model
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@ -1,5 +1,5 @@
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data:
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batch_size: 4
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batch_size: 16
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train_clip_seconds: 0.5
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sample_rate: 22050
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hop_length: 256
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@ -1,5 +1,5 @@
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data:
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batch_size: 32
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batch_size: 16
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train_clip_seconds: 0.5
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sample_rate: 22050
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hop_length: 256
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@ -1,5 +1,5 @@
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data:
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batch_size: 4
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batch_size: 16
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train_clip_seconds: 0.5
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sample_rate: 22050
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hop_length: 256
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