mirror of https://github.com/coqui-ai/TTS.git
34 lines
580 B
Python
34 lines
580 B
Python
# Audio
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num_mels = 80
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num_freq = 1024
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sample_rate = 20000
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frame_length_ms = 50.
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frame_shift_ms = 12.5
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preemphasis = 0.97
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min_level_db = -100
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ref_level_db = 20
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hidden_size = 128
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embedding_size = 256
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# training
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epochs = 10000
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lr = 0.001
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decay_step = [500000, 1000000, 2000000]
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batch_size = 128
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max_iters = 200
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griffin_lim_iters = 60
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power = 1.5
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dec_out_per_step = 5
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#teacher_forcing_ratio = 1.0
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# outputing
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log_step = 100
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save_step = 2000
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# text processing
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cleaners = 'english_cleaners'
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# data settings
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data_path = '/data/shared/KeithIto/LJSpeech-1.0/'
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output_path = './result'
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