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n_mels: 80 |
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pretrained_path: underdogliu1005/spkrec-resnet-voxceleb |
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out_n_neurons: 7205 |
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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.ResNet.ResNet |
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input_size: !ref <n_mels> |
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channels: [128, 128, 256, 256] |
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strides: [1, 2, 2, 2] |
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block_sizes: [3, 4, 6, 3] |
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lin_neurons: 256 |
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classifier: !new:speechbrain.lobes.models.ResNet.Classifier |
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input_size: 256 |
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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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classifier: !ref <classifier> |
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paths: |
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embedding_model: !ref <pretrained_path>/embedding_model.ckpt |
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classifier: !ref <pretrained_path>/classifier.ckpt |
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