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hyperparams.yaml

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+# ################################
+# Model: wav2vec2 + DNN + CTC/Attention
+# Augmentation: SpecAugment
+# Authors: Titouan Parcollet 2021
+# ################################
+
+sample_rate: 16000
+wav2vec2_hub: facebook/wav2vec2-large-it-voxpopuli
+
+# 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: 500  # 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.lobes.models.VanillaNN.VanillaNN
+    input_shape: [null, null, 1024]
+    activation: !ref <activation>
+    dnn_blocks: !ref <dnn_layers>
+    dnn_neurons: !ref <dnn_neurons>
+
+wav2vec2: !new:speechbrain.lobes.models.huggingface_wav2vec.HuggingFaceWav2Vec2
+    source: !ref <wav2vec2_hub>
+    output_norm: True
+    freeze: True
+    pretrain: False
+    save_path: model_checkpoints
+
+emb: !new:speechbrain.nnet.embedding.Embedding
+    num_embeddings: !ref <output_neurons>
+    embedding_dim: !ref <emb_size>
+
+dec: !new:speechbrain.nnet.RNN.AttentionalRNNDecoder
+    enc_dim: !ref <dnn_neurons>
+    input_size: !ref <emb_size>
+    rnn_type: gru
+    attn_type: location
+    hidden_size: 1024
+    attn_dim: 1024
+    num_layers: 1
+    scaling: 1.0
+    channels: 10
+    kernel_size: 100
+    re_init: True
+    dropout: 0.15
+
+ctc_lin: !new:speechbrain.nnet.linear.Linear
+    input_size: !ref <dnn_neurons>
+    n_neurons: !ref <output_neurons>
+
+seq_lin: !new:speechbrain.nnet.linear.Linear
+    input_size: !ref <dec_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>
+
+seq_cost: !name:speechbrain.nnet.losses.nll_loss
+    label_smoothing: 0.1
+
+asr_model: !new:torch.nn.ModuleList
+    - [!ref <enc>, !ref <emb>, !ref <dec>, !ref <ctc_lin>, !ref <seq_lin>]
+
+tokenizer: !new:sentencepiece.SentencePieceProcessor
+
+encoder: !new:speechbrain.nnet.containers.LengthsCapableSequential
+    wav2vec2: !ref <wav2vec2>
+    enc: !ref <enc>
+
+decoder: !new:speechbrain.decoders.S2SRNNBeamSearcher
+    embedding: !ref <emb>
+    decoder: !ref <dec>
+    linear: !ref <seq_lin>
+    ctc_linear: !ref <ctc_lin>
+    bos_index: !ref <bos_index>
+    eos_index: !ref <eos_index>
+    blank_index: !ref <blank_index>
+    min_decode_ratio: !ref <min_decode_ratio>
+    max_decode_ratio: !ref <max_decode_ratio>
+    beam_size: !ref <beam_size>
+    eos_threshold: !ref <eos_threshold>
+    using_max_attn_shift: !ref <using_max_attn_shift>
+    max_attn_shift: !ref <max_attn_shift>
+    temperature: !ref <temperature>
+
+modules:
+    encoder: !ref <encoder>
+    decoder: !ref <decoder>
+
+pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
+    loadables:
+        wav2vec2: !ref <wav2vec2>
+        asr: !ref <asr_model>
+        tokenizer: !ref <tokenizer>