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sample_rate: 16000 |
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emb_size: 128 |
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dec_neurons: 512 |
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output_neurons: 51 |
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ASR_encoder_dim: 512 |
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encoder_dim: 256 |
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bos_index: 0 |
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eos_index: 0 |
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min_decode_ratio: 0.0 |
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max_decode_ratio: 10.0 |
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slu_beam_size: 80 |
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eos_threshold: 1.5 |
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temperature: 1.25 |
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asr_model_source: speechbrain/asr-crdnn-rnnlm-librispeech |
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slu_enc: !new:speechbrain.nnet.containers.Sequential |
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input_shape: [null, null, !ref <ASR_encoder_dim>] |
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lstm: !new:speechbrain.nnet.RNN.LSTM |
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input_size: !ref <ASR_encoder_dim> |
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bidirectional: True |
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hidden_size: !ref <encoder_dim> |
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num_layers: 2 |
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linear: !new:speechbrain.nnet.linear.Linear |
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input_size: !ref <encoder_dim> * 2 |
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n_neurons: !ref <encoder_dim> |
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output_emb: !new:speechbrain.nnet.embedding.Embedding |
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num_embeddings: !ref <output_neurons> |
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embedding_dim: !ref <emb_size> |
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dec: !new:speechbrain.nnet.RNN.AttentionalRNNDecoder |
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enc_dim: !ref <encoder_dim> |
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input_size: !ref <emb_size> |
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rnn_type: gru |
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attn_type: keyvalue |
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hidden_size: !ref <dec_neurons> |
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attn_dim: 512 |
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num_layers: 3 |
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scaling: 1.0 |
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dropout: 0.0 |
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seq_lin: !new:speechbrain.nnet.linear.Linear |
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input_size: !ref <dec_neurons> |
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n_neurons: !ref <output_neurons> |
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model: !new:torch.nn.ModuleList |
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- [!ref <slu_enc>, !ref <output_emb>, |
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!ref <dec>, !ref <seq_lin>] |
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tokenizer: !new:sentencepiece.SentencePieceProcessor |
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pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer |
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loadables: |
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model: !ref <model> |
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tokenizer: !ref <tokenizer> |
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beam_searcher: !new:speechbrain.decoders.S2SRNNBeamSearcher |
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embedding: !ref <output_emb> |
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decoder: !ref <dec> |
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linear: !ref <seq_lin> |
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bos_index: !ref <bos_index> |
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eos_index: !ref <eos_index> |
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min_decode_ratio: !ref <min_decode_ratio> |
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max_decode_ratio: !ref <max_decode_ratio> |
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beam_size: !ref <slu_beam_size> |
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eos_threshold: !ref <eos_threshold> |
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temperature: !ref <temperature> |
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using_max_attn_shift: False |
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max_attn_shift: 30 |
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modules: |
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slu_enc: !ref <slu_enc> |
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beam_searcher: !ref <beam_searcher> |
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