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sample_rate: 16000 |
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wav2vec2_hub: facebook/wav2vec2-large-lv60 |
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token_type: unigram |
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character_coverage: 1.0 |
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activation: !name:torch.nn.LeakyReLU |
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dnn_layers: 2 |
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dnn_neurons: 1024 |
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emb_size: 128 |
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dec_neurons: 1024 |
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output_neurons: 500 |
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blank_index: 0 |
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bos_index: 1 |
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eos_index: 2 |
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min_decode_ratio: 0.0 |
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max_decode_ratio: 1.0 |
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beam_size: 80 |
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eos_threshold: 1.5 |
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using_max_attn_shift: True |
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max_attn_shift: 140 |
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ctc_weight_decode: 0.0 |
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temperature: 1.50 |
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enc: !new:speechbrain.lobes.models.VanillaNN.VanillaNN |
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input_shape: [null, null, 1024] |
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activation: !ref <activation> |
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dnn_blocks: !ref <dnn_layers> |
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dnn_neurons: !ref <dnn_neurons> |
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wav2vec2: !new:speechbrain.lobes.models.huggingface_wav2vec.HuggingFaceWav2Vec2 |
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source: !ref <wav2vec2_hub> |
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output_norm: True |
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freeze: True |
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pretrain: False |
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save_path: model_checkpoints |
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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 <dnn_neurons> |
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input_size: !ref <emb_size> |
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rnn_type: gru |
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attn_type: location |
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hidden_size: 1024 |
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attn_dim: 1024 |
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num_layers: 1 |
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scaling: 1.0 |
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channels: 10 |
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kernel_size: 100 |
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re_init: True |
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dropout: 0.0 |
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ctc_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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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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log_softmax: !new:speechbrain.nnet.activations.Softmax |
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apply_log: True |
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ctc_cost: !name:speechbrain.nnet.losses.ctc_loss |
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blank_index: !ref <blank_index> |
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seq_cost: !name:speechbrain.nnet.losses.nll_loss |
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label_smoothing: 0.1 |
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asr_model: !new:torch.nn.ModuleList |
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- [!ref <enc>, !ref <emb>, !ref <dec>, !ref <ctc_lin>, !ref <seq_lin>] |
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tokenizer: !new:sentencepiece.SentencePieceProcessor |
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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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decoder: !new:speechbrain.decoders.S2SRNNBeamSearcher |
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embedding: !ref <emb> |
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decoder: !ref <dec> |
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linear: !ref <seq_lin> |
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ctc_linear: !ref <ctc_lin> |
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bos_index: !ref <bos_index> |
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eos_index: !ref <eos_index> |
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blank_index: !ref <blank_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 <beam_size> |
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eos_threshold: !ref <eos_threshold> |
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using_max_attn_shift: !ref <using_max_attn_shift> |
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max_attn_shift: !ref <max_attn_shift> |
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temperature: !ref <temperature> |
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modules: |
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encoder: !ref <encoder> |
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decoder: !ref <decoder> |
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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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asr: !ref <asr_model> |
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tokenizer: !ref <tokenizer> |
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