Fork of https://github.com/alokprasad/fastspeech_squeezewave to also fix denoising in squeezewave
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52 lines
953 B
52 lines
953 B
from text import symbols
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# Text
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text_cleaners = ['english_cleaners']
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# Mel
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n_mel_channels = 80
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num_mels = 80
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# FastSpeech
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vocab_size = 1024
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N = 6
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Head = 2
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d_model = 384
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duration_predictor_filter_size = 256
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duration_predictor_kernel_size = 3
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dropout = 0.1
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word_vec_dim = 384
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encoder_n_layer = 6
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encoder_head = 2
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encoder_conv1d_filter_size = 1536
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max_sep_len = 2048
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encoder_output_size = 384
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decoder_n_layer = 6
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decoder_head = 2
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decoder_conv1d_filter_size = 1536
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decoder_output_size = 384
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fft_conv1d_kernel = 3
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fft_conv1d_padding = 1
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duration_predictor_filter_size = 256
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duration_predictor_kernel_size = 3
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dropout = 0.1
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# Train
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alignment_path = "./alignments"
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checkpoint_path = "./model_new"
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logger_path = "./logger"
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mel_ground_truth = "./mels"
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batch_size = 64
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epochs = 1000
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n_warm_up_step = 4000
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learning_rate = 1e-3
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weight_decay = 1e-6
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grad_clip_thresh = 1.0
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decay_step = [500000, 1000000, 2000000]
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save_step = 1000
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log_step = 5
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clear_Time = 20
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