TanelAlumae commited on
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First model version

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.gitattributes CHANGED
@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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+ *.ckpt filter=lfs diff=lfs merge=lfs -text
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embedding_model.ckpt ADDED
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hyperparams.yaml ADDED
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+ pretrained_path: TalTechNLP/voxlingua107-epaca-tdnn-ce
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+
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+
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+ # Feature parameters
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+ n_mels: 60
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+ left_frames: 0
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+ right_frames: 0
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+ deltas: false
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+
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+ # Number of speakers
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+ out_n_neurons: 107
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+
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+ # Functions
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+ compute_features: !new:speechbrain.lobes.features.Fbank
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+ n_mels: 60
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+ left_frames: 0
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+ right_frames: 0
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+ deltas: false
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+
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+ embedding_model: !new:speechbrain.lobes.models.ECAPA_TDNN.ECAPA_TDNN
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+ input_size: 60
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+ channels: [1024, 1024, 1024, 1024, 3072]
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+ kernel_sizes: [5, 3, 3, 3, 1]
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+ dilations: [1, 2, 3, 4, 1]
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+ attention_channels: 128
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+ lin_neurons: 256
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+
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+
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+ classifier: !new:speechbrain.lobes.models.Xvector.Classifier
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+ input_shape: [null, null, 256]
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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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+
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+
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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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+
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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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+ classifier: !ref <classifier>
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+
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+ label_encoder: !new:speechbrain.dataio.encoder.CategoricalEncoder
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+
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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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+ 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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+ classifier: !ref <pretrained_path>/classifier.ckpt
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+ label_encoder: !ref <pretrained_path>/label_encoder.txt
label_encoder.txt ADDED
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+ ================
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