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embedding_model.ckpt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:48f8e8ec25cb26f7217e843a9535345e5a62da1aab71d7e99ce734fcfad4f421
+size 83310835

hyperparams.yaml

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+sample_rate: 16000
+hop_length: 256
+win_length: 1024
+n_mel_channels: 80
+n_fft: 1024
+mel_fmin: 0.0
+mel_fmax: 8000.0
+mel_normalized: False
+power: 1
+norm: "slaney"
+mel_scale: "slaney"
+dynamic_range_compression: True
+
+# Modules
+embedding_model: !new:speechbrain.lobes.models.ECAPA_TDNN.ECAPA_TDNN
+    input_size: !ref <n_mel_channels>
+    channels: [1024, 1024, 1024, 1024, 3072]
+    kernel_sizes: [5, 3, 3, 3, 1]
+    dilations: [1, 2, 3, 4, 1]
+    groups: [1, 1, 1, 1, 1]
+    attention_channels: 128
+    lin_neurons: 192
+
+
+normalizer: !new:speechbrain.processing.features.InputNormalization
+    norm_type: sentence
+    std_norm: False
+
+
+modules:
+    normalizer: !ref <normalizer>
+    embedding_model: !ref <embedding_model>
+
+pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
+    loadables:
+        normalizer: !ref <normalizer>
+        embedding_model: !ref <embedding_model>

normalizer.ckpt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:01dd629a2a24b29ad133b15930494e168114b788c4d7579ac2862e3d406e00fb
+size 1063