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