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n_mels: 24 |
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pretrained_path: team-lucid/spkrec-xvect-korean |
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out_n_neurons: 5914 |
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compute_features: !new:speechbrain.lobes.features.Fbank |
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n_mels: !ref <n_mels> |
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mean_var_norm: !new:speechbrain.processing.features.InputNormalization |
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norm_type: sentence |
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std_norm: False |
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embedding_model: !new:speechbrain.lobes.models.Xvector.Xvector |
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in_channels: !ref <n_mels> |
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activation: !name:torch.nn.LeakyReLU |
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tdnn_blocks: 5 |
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tdnn_channels: [512, 512, 512, 512, 1500] |
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tdnn_kernel_sizes: [5, 3, 3, 1, 1] |
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tdnn_dilations: [1, 2, 3, 1, 1] |
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lin_neurons: 512 |
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classifier: !new:speechbrain.lobes.models.Xvector.Classifier |
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input_shape: [null, null, 512] |
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activation: !name:torch.nn.LeakyReLU |
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lin_blocks: 1 |
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lin_neurons: 512 |
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out_neurons: !ref <out_n_neurons> |
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mean_var_norm_emb: !new:speechbrain.processing.features.InputNormalization |
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norm_type: global |
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std_norm: False |
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modules: |
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compute_features: !ref <compute_features> |
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mean_var_norm: !ref <mean_var_norm> |
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embedding_model: !ref <embedding_model> |
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mean_var_norm_emb: !ref <mean_var_norm_emb> |
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classifier: !ref <classifier> |
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label_encoder: !new:speechbrain.dataio.encoder.CategoricalEncoder |
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pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer |
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loadables: |
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embedding_model: !ref <embedding_model> |
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mean_var_norm_emb: !ref <mean_var_norm_emb> |
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classifier: !ref <classifier> |
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label_encoder: !ref <label_encoder> |
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paths: |
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embedding_model: !ref <pretrained_path>/embedding_model.ckpt |
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mean_var_norm_emb: !ref <pretrained_path>/mean_var_norm_emb.ckpt |
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classifier: !ref <pretrained_path>/classifier.ckpt |
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label_encoder: !ref <pretrained_path>/label_encoder.txt |
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