|
pretrained_path: TalTechNLP/voxlingua107-epaca-tdnn
|
|
|
|
|
|
|
|
n_mels: 60
|
|
left_frames: 0
|
|
right_frames: 0
|
|
deltas: false
|
|
|
|
|
|
out_n_neurons: 107
|
|
|
|
|
|
compute_features: !new:speechbrain.lobes.features.Fbank
|
|
n_mels: 60
|
|
left_frames: 0
|
|
right_frames: 0
|
|
deltas: false
|
|
|
|
embedding_model: !new:speechbrain.lobes.models.ECAPA_TDNN.ECAPA_TDNN
|
|
input_size: 60
|
|
channels: [1024, 1024, 1024, 1024, 3072]
|
|
kernel_sizes: [5, 3, 3, 3, 1]
|
|
dilations: [1, 2, 3, 4, 1]
|
|
attention_channels: 128
|
|
lin_neurons: 256
|
|
|
|
classifier: !new:speechbrain.lobes.models.ECAPA_TDNN.Classifier
|
|
input_size: 256
|
|
out_neurons: !ref <out_n_neurons>
|
|
|
|
mean_var_norm: !new:speechbrain.processing.features.InputNormalization
|
|
norm_type: sentence
|
|
std_norm: false
|
|
|
|
modules:
|
|
compute_features: !ref <compute_features>
|
|
mean_var_norm: !ref <mean_var_norm>
|
|
embedding_model: !ref <embedding_model>
|
|
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
|
|
|