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wav2vec_url: LeBenchmark/wav2vec2-FR-3K-large |
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sample_rate: 16000 |
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feats_dim: 1024 |
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activation: !name:torch.nn.LeakyReLU |
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dnn_blocks: 3 |
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dnn_neurons: 512 |
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log_softmax: !new:torch.nn.LogSoftmax |
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dim: -1 |
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blank_index: 0 |
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output_neurons: 141 |
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wav2vec2: !new:speechbrain.lobes.models.huggingface_transformers.wav2vec2.Wav2Vec2 |
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source: !ref <wav2vec_url> |
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output_norm: True |
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freeze: True |
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save_path: wav2vec2_checkpoint |
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enc: !new:speechbrain.lobes.models.VanillaNN.VanillaNN |
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input_shape: [null, null, !ref <feats_dim>] |
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activation: !ref <activation> |
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dnn_blocks: !ref <dnn_blocks> |
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dnn_neurons: !ref <dnn_neurons> |
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output_lin: !new:speechbrain.nnet.linear.Linear |
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input_size: !ref <dnn_neurons> |
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n_neurons: !ref <output_neurons> |
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bias: True |
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model: !new:torch.nn.ModuleList |
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- [!ref <enc>, !ref <output_lin>] |
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tokenizer: !new:speechbrain.dataio.encoder.CTCTextEncoder |
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encoder: !new:speechbrain.nnet.containers.LengthsCapableSequential |
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wav2vec2: !ref <wav2vec2> |
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enc: !ref <enc> |
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output_lin: !ref <output_lin> |
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log_softmax: !ref <log_softmax> |
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decoding_function: !name:speechbrain.decoders.ctc_greedy_decode |
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blank_id: !ref <blank_index> |
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modules: |
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encoder: !ref <encoder> |
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pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer |
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loadables: |
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wav2vec2: !ref <wav2vec2> |
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model: !ref <model> |
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tokenizer: !ref <tokenizer> |
