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# ############################################################################
# Model: CTC-wav2vec2
# Encoder: wav2vec2
# Decoder: -
# Tokens: Char
# losses: CTC
# Training: AISHELL-1
# Authors: Yingzhi WANG 2022
# ############################################################################
wav2vec2_hub: TencentGameMate/chinese-wav2vec2-large
sample_rate: 16000
wav2vec_output_dim: 1024
dnn_neurons: 1024
freeze_wav2vec: False
dropout: 0.15
tokenizer: !apply:transformers.BertTokenizer.from_pretrained
pretrained_model_name_or_path: bert-base-chinese
output_neurons: 21128
# Decoding parameters
# Be sure that the bos and eos index match with the BPEs ones
blank_index: 0
enc: !new:speechbrain.nnet.containers.Sequential
input_shape: [null, null, !ref <wav2vec_output_dim>]
linear1: !name:speechbrain.nnet.linear.Linear
n_neurons: !ref <dnn_neurons>
bias: True
bn1: !name:speechbrain.nnet.normalization.BatchNorm1d
activation: !new:torch.nn.LeakyReLU
drop: !new:torch.nn.Dropout
p: !ref <dropout>
linear2: !name:speechbrain.nnet.linear.Linear
n_neurons: !ref <dnn_neurons>
bias: True
bn2: !name:speechbrain.nnet.normalization.BatchNorm1d
activation2: !new:torch.nn.LeakyReLU
drop2: !new:torch.nn.Dropout
p: !ref <dropout>
linear3: !name:speechbrain.nnet.linear.Linear
n_neurons: !ref <dnn_neurons>
bias: True
bn3: !name:speechbrain.nnet.normalization.BatchNorm1d
activation3: !new:torch.nn.LeakyReLU
wav2vec2: !new:speechbrain.lobes.models.huggingface_transformers.wav2vec2.Wav2Vec2
source: !ref <wav2vec2_hub>
output_norm: True
freeze: !ref <freeze_wav2vec>
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
decoder: !name:speechbrain.decoders.ctc_greedy_decode
blank_id: !ref <blank_index>
model: !new:torch.nn.ModuleList
- [!ref <enc>, !ref <ctc_lin>]
modules:
wav2vec2: !ref <wav2vec2>
enc: !ref <enc>
ctc_lin: !ref <ctc_lin>
log_softmax: !ref <log_softmax>
pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
loadables:
wav2vec2: !ref <wav2vec2>
model: !ref <model>
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