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vocoder/hparams.py

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+from synthesizer.hparams import hparams as _syn_hp
+
+
+# Audio settings------------------------------------------------------------------------
+# Match the values of the synthesizer
+sample_rate = _syn_hp.sample_rate
+n_fft = _syn_hp.n_fft
+num_mels = _syn_hp.num_mels
+hop_length = _syn_hp.hop_size
+win_length = _syn_hp.win_size
+fmin = _syn_hp.fmin
+min_level_db = _syn_hp.min_level_db
+ref_level_db = _syn_hp.ref_level_db
+mel_max_abs_value = _syn_hp.max_abs_value
+preemphasis = _syn_hp.preemphasis
+apply_preemphasis = _syn_hp.preemphasize
+
+bits = 9                            # bit depth of signal
+mu_law = True                       # Recommended to suppress noise if using raw bits in hp.voc_mode
+                                    # below
+
+
+# WAVERNN / VOCODER --------------------------------------------------------------------------------
+voc_mode = 'RAW'                    # either 'RAW' (softmax on raw bits) or 'MOL' (sample from 
+# mixture of logistics)
+voc_upsample_factors = (5, 5, 8)    # NB - this needs to correctly factorise hop_length
+voc_rnn_dims = 512
+voc_fc_dims = 512
+voc_compute_dims = 128
+voc_res_out_dims = 128
+voc_res_blocks = 10
+
+# Training
+voc_batch_size = 100
+voc_lr = 1e-4
+voc_gen_at_checkpoint = 5           # number of samples to generate at each checkpoint
+voc_pad = 2                         # this will pad the input so that the resnet can 'see' wider 
+                                    # than input length
+voc_seq_len = hop_length * 5        # must be a multiple of hop_length
+
+# Generating / Synthesizing
+voc_gen_batched = True              # very fast (realtime+) single utterance batched generation
+voc_target = 8000                   # target number of samples to be generated in each batch entry
+voc_overlap = 400                   # number of samples for crossfading between batches