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hparams.py

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"clip_thresh": 0.1,
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"initial_learning_rate": 5e-4,
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},
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"deepvoice3_wavenet_ljspeech": {
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"num_mels": 80,
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"fft_size": 1024,
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"hop_size": 256,
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"sample_rate": 22050,
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"preemphasis": 0,
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"min_level_db": -100,
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"ref_level_db": 20,
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"n_speakers": 1,
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"downsample_step": 1,
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"outputs_per_step": 1,
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"embedding_weight_std": 0.1,
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"dropout": 1 - 0.95,
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"kernel_size": 3,
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"text_embed_dim": 256,
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"encoder_channels": 512,
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"decoder_channels": 256,
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"converter_channels": 256,
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"use_guided_attention": True,
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"guided_attention_sigma": 0.2,
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"binary_divergence_weight": 0.1,
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"use_decoder_state_for_postnet_input": True,
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"max_positions": 2048,
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"query_position_rate": 1.0,
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"key_position_rate": 1.385,
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"key_projection": True,
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"value_projection": True,
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"clip_thresh": 0.1,
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"initial_learning_rate": 5e-4,
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},
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"deepvoice3_vctk": {
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"n_speakers": 108,
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"speaker_embed_dim": 16,

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