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| # ################################ | |
| # Model: wav2vec2 + DNN + CTC/Attention | |
| # Augmentation: SpecAugment | |
| # Authors: Titouan Parcollet 2021 | |
| # ################################ | |
| sample_rate: 16000 | |
| wav2vec2_hub: wav2vec2-FR-7K-large/ | |
| # BPE parameters | |
| token_type: unigram # ["unigram", "bpe", "char"] | |
| character_coverage: 1.0 | |
| # Model parameters | |
| activation: !name:torch.nn.LeakyReLU | |
| dnn_layers: 2 | |
| dnn_neurons: 1024 | |
| emb_size: 128 | |
| dec_neurons: 1024 | |
| # Outputs | |
| output_neurons: 76 # BPE size, index(blank/eos/bos) = 0 | |
| # Decoding parameters | |
| # Be sure that the bos and eos index match with the BPEs ones | |
| blank_index: 0 | |
| bos_index: 1 | |
| eos_index: 2 | |
| min_decode_ratio: 0.0 | |
| max_decode_ratio: 1.0 | |
| beam_size: 80 | |
| eos_threshold: 1.5 | |
| using_max_attn_shift: True | |
| max_attn_shift: 140 | |
| ctc_weight_decode: 0.0 | |
| temperature: 1.50 | |
| enc: !new:speechbrain.nnet.containers.Sequential | |
| input_shape: [null, null, 1024] | |
| linear1: !name:speechbrain.nnet.linear.Linear | |
| n_neurons: 1024 | |
| bias: True | |
| bn1: !name:speechbrain.nnet.normalization.BatchNorm1d | |
| activation: !new:torch.nn.LeakyReLU | |
| drop: !new:torch.nn.Dropout | |
| p: 0.15 | |
| linear2: !name:speechbrain.nnet.linear.Linear | |
| n_neurons: 1024 | |
| bias: True | |
| bn2: !name:speechbrain.nnet.normalization.BatchNorm1d | |
| activation2: !new:torch.nn.LeakyReLU | |
| drop2: !new:torch.nn.Dropout | |
| p: 0.15 | |
| linear3: !name:speechbrain.nnet.linear.Linear | |
| n_neurons: 1024 | |
| bias: True | |
| bn3: !name:speechbrain.nnet.normalization.BatchNorm1d | |
| activation3: !new:torch.nn.LeakyReLU | |
| wav2vec2: !new:speechbrain.lobes.models.huggingface_wav2vec.HuggingFaceWav2Vec2 | |
| source: !ref <wav2vec2_hub> | |
| output_norm: True | |
| freeze: True | |
| save_path: model_checkpoints | |
| ctc_lin: !new:speechbrain.nnet.linear.Linear | |
| input_size: !ref <dnn_neurons> | |
| n_neurons: !ref <output_neurons> | |
| log_softmax: !new:speechbrain.nnet.activations.Softmax | |
| apply_log: True | |
| ctc_cost: !name:speechbrain.nnet.losses.ctc_loss | |
| blank_index: !ref <blank_index> | |
| asr_model: !new:torch.nn.ModuleList | |
| - [!ref <enc>, !ref <ctc_lin>] | |
| tokenizer: !new:sentencepiece.SentencePieceProcessor | |
| encoder: !new:speechbrain.nnet.containers.LengthsCapableSequential | |
| wav2vec2: !ref <wav2vec2> | |
| enc: !ref <enc> | |
| ctc_lin: !ref <ctc_lin> | |
| decoding_function: !name:speechbrain.decoders.ctc_greedy_decode | |
| blank_id: !ref <blank_index> | |
| modules: | |
| encoder: !ref <encoder> | |
| pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer | |
| loadables: | |
| wav2vec2: !ref <wav2vec2> | |
| asr: !ref <asr_model> | |
| tokenizer: !ref <tokenizer> | |