File size: 1,756 Bytes
7f5fd22 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
# ############################################################################
# Model: ECAPA small for Speaker verification
# Authors: Yang Wang
# ############################################################################
# Feature parameters
n_mels: 80
deltas: False
# Pretrain folder (HuggingFace)
pretrained_path: yangwang825/ecapa-tdnn-vox2
# Output parameters
out_n_neurons: 5994
# Model params
compute_features: !new:speechbrain.lobes.features.Fbank
n_mels: !ref <n_mels>
deltas: !ref <deltas>
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: [512, 512, 512, 512, 1536]
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
classifier: !new:speechbrain.lobes.models.ECAPA_TDNN.Classifier
input_size: 192
out_neurons: !ref <out_n_neurons>
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>
classifier: !ref <classifier>
label_encoder: !new:speechbrain.dataio.encoder.CategoricalEncoder
pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
loadables:
embedding_model: !ref <embedding_model>
classifier: !ref <classifier>
label_encoder: !ref <label_encoder>
paths:
embedding_model: !ref <pretrained_path>/embedding_model.ckpt
classifier: !ref <pretrained_path>/classifier.ckpt
label_encoder: !ref <pretrained_path>/label_encoder.txt |