Update hyperparams.yaml
Browse files- hyperparams.yaml +148 -1
hyperparams.yaml
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# ################################
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# Model: Fastspeech2 Internal Alignment
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# Authors: Yingzhi Wang
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# ################################
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# Input parameters
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lexicon:
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- "AA"
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- "AE"
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- "AH"
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- "AO"
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- "AW"
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- "AY"
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- "B"
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- "CH"
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- "D"
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- "DH"
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- "EH"
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- "ER"
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- "EY"
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- "F"
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- "G"
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- "HH"
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- "IH"
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- "IY"
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- "JH"
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- "K"
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- "L"
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- "M"
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- "N"
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- "NG"
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- "OW"
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- "OY"
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- "P"
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- "R"
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- "S"
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- "SH"
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- "T"
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- "TH"
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- "UH"
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- "UW"
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- "V"
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- "W"
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- "Y"
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- "Z"
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- "ZH"
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- "-"
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- "!"
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- "'"
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- "("
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- ")"
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- ","
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- "."
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- ":"
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- ";"
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- "?"
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- " "
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n_symbols: 52 #fixed depending on symbols in the lexicon (+1 for a dummy symbol used for padding, +1 for unknown)
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padding_idx: 0
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n_mel_channels: 80
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hidden_channels: 512
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# Encoder parameters
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enc_num_layers: 4
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enc_num_head: 2
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enc_d_model: !ref <hidden_channels>
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enc_ffn_dim: 1024
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enc_k_dim: !ref <hidden_channels>
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enc_v_dim: !ref <hidden_channels>
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enc_dropout: 0.2
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# Aligner parameters
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in_query_channels: 80
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in_key_channels: !ref <hidden_channels>
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attn_channels: 80
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temperature: 0.0005
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# Decoder parameters
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dec_num_layers: 4
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dec_num_head: 2
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dec_d_model: !ref <hidden_channels>
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dec_ffn_dim: 1024
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dec_k_dim: !ref <hidden_channels>
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dec_v_dim: !ref <hidden_channels>
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dec_dropout: 0.2
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# Postnet parameters
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postnet_embedding_dim: 512
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postnet_kernel_size: 5
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postnet_n_convolutions: 5
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postnet_dropout: 0.2
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# Common
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normalize_before: True
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ffn_type: 1dcnn #1dcnn or ffn
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ffn_cnn_kernel_size_list: [9, 1]
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# Variance predictor
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dur_pred_kernel_size: 3
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pitch_pred_kernel_size: 3
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energy_pred_kernel_size: 3
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variance_predictor_dropout: 0.5
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# Model
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model: !new:speechbrain.lobes.models.FastSpeech2.FastSpeech2WithAlignment
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enc_num_layers: !ref <enc_num_layers>
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enc_num_head: !ref <enc_num_head>
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enc_d_model: !ref <enc_d_model>
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enc_ffn_dim: !ref <enc_ffn_dim>
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enc_k_dim: !ref <enc_k_dim>
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enc_v_dim: !ref <enc_v_dim>
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enc_dropout: !ref <enc_dropout>
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in_query_channels: !ref <in_query_channels>
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in_key_channels: !ref <in_key_channels>
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attn_channels: !ref <attn_channels>
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temperature: !ref <temperature>
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dec_num_layers: !ref <dec_num_layers>
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dec_num_head: !ref <dec_num_head>
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dec_d_model: !ref <dec_d_model>
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dec_ffn_dim: !ref <dec_ffn_dim>
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dec_k_dim: !ref <dec_k_dim>
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dec_v_dim: !ref <dec_v_dim>
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dec_dropout: !ref <dec_dropout>
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normalize_before: !ref <normalize_before>
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ffn_type: !ref <ffn_type>
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ffn_cnn_kernel_size_list: !ref <ffn_cnn_kernel_size_list>
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n_char: !ref <n_symbols>
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n_mels: !ref <n_mel_channels>
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postnet_embedding_dim: !ref <postnet_embedding_dim>
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postnet_kernel_size: !ref <postnet_kernel_size>
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postnet_n_convolutions: !ref <postnet_n_convolutions>
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postnet_dropout: !ref <postnet_dropout>
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padding_idx: !ref <padding_idx>
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dur_pred_kernel_size: !ref <dur_pred_kernel_size>
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pitch_pred_kernel_size: !ref <pitch_pred_kernel_size>
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energy_pred_kernel_size: !ref <energy_pred_kernel_size>
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variance_predictor_dropout: !ref <variance_predictor_dropout>
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input_encoder: !new:speechbrain.dataio.encoder.TextEncoder
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modules:
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model: !ref <model>
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pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
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loadables:
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model: !ref <model>
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