| pretrained_path: sahita/language-identification |
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|
| n_mels: 60 |
| left_frames: 0 |
| right_frames: 0 |
| deltas: false |
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| |
| out_n_neurons: 3 |
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| |
| compute_features: &id003 !new:speechbrain.lobes.features.Fbank |
| n_mels: 60 |
| left_frames: 0 |
| right_frames: 0 |
| deltas: false |
|
|
| embedding_model: &id004 !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: &id005 !new:speechbrain.lobes.models.Xvector.Classifier |
| input_shape: [null, null, 256] |
| activation: !name:torch.nn.LeakyReLU |
| lin_blocks: 1 |
| lin_neurons: 512 |
| out_neurons: !ref <out_n_neurons> |
|
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| mean_var_norm: &id006 !new:speechbrain.processing.features.InputNormalization |
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| norm_type: sentence |
| std_norm: false |
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| modules: |
| compute_features: !ref <compute_features> |
| embedding_model: !ref <embedding_model> |
| classifier: !ref <classifier> |
| mean_var_norm: !ref <mean_var_norm> |
|
|
| label_encoder: !new:speechbrain.dataio.encoder.CategoricalEncoder |
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|
| 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 |
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|
