| transformer: | |
| encoder_layer: 4 | |
| encoder_head: 2 | |
| encoder_hidden: 256 | |
| decoder_layer: 6 | |
| decoder_head: 2 | |
| decoder_hidden: 256 | |
| conv_filter_size: 1024 | |
| conv_kernel_size: [9, 1] | |
| encoder_dropout: 0.2 | |
| decoder_dropout: 0.2 | |
| variance_predictor: | |
| filter_size: 256 | |
| kernel_size: 3 | |
| dropout: 0.5 | |
| variance_embedding: | |
| pitch_quantization: "linear" # support 'linear' or 'log', 'log' is allowed only if the pitch values are not normalized during preprocessing | |
| energy_quantization: "linear" # support 'linear' or 'log', 'log' is allowed only if the energy values are not normalized during preprocessing | |
| n_bins: 256 | |
| # gst: | |
| # use_gst: False | |
| # conv_filters: [32, 32, 64, 64, 128, 128] | |
| # gru_hidden: 128 | |
| # token_size: 128 | |
| # n_style_token: 10 | |
| # attn_head: 4 | |
| multi_speaker: True | |
| multi_emotion: False | |
| bert_emotion: False | |
| max_seq_len: 1000 | |
| vocoder: | |
| model: "HiFi-GAN" # support 'HiFi-GAN', 'MelGAN' | |
| speaker: "universal" # support 'LJSpeech', 'universal' | |