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# ############################################################################
# Model: ECAPA big for Speaker verification
# ############################################################################
# Feature parameters
n_mels: 80
# Model params
compute_features: !new:speechbrain.lobes.features.Fbank
n_mels: !ref <n_mels>
mean_var_norm: !new:speechbrain.processing.features.InputNormalization
norm_type: sentence
std_norm: False
embedding_model: !new:speechbrain.lobes.models.ECAPA_TDNN.ECAPA_TDNN
input_size: !ref <n_mels>
channels: [1024, 1024, 1024, 1024, 3072]
kernel_sizes: [5, 3, 3, 3, 1]
dilations: [1, 2, 3, 4, 1]
attention_channels: 128
lin_neurons: 192
mean_var_norm_emb: !new:speechbrain.processing.features.InputNormalization
norm_type: global
std_norm: False
modules:
compute_features: !ref <compute_features>
mean_var_norm: !ref <mean_var_norm>
embedding_model: !ref <embedding_model>
mean_var_norm_emb: !ref <mean_var_norm_emb>
pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
loadables:
embedding_model: !ref <embedding_model>
mean_var_norm_emb: !ref <mean_var_norm_emb> |