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################################
# Model: wav2vec2 + DNN + CTC
# Augmentation: SpecAugment
# Authors: Titouan Parcollet 2021
# ################################
sample_rate: 16000
wav2vec2_hub: LeBenchmark/wav2vec2-FR-3K-large #LeBenchmark/wav2vec2-FR-7K-large
# BPE parameters
token_type: char # ["unigram", "bpe", "char"]
character_coverage: 1.0
tokenizer: !new:sentencepiece.SentencePieceProcessor
# Model parameters
activation: !name:torch.nn.LeakyReLU
dnn_layers: 2
dnn_neurons: 1024
emb_size: 128
dec_neurons: 1024
# Outputs
output_neurons: 63 # 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_transformers.wav2vec2.Wav2Vec2
source: !ref <wav2vec2_hub>
output_norm: True
freeze: !ref 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>]
encoder: !new:speechbrain.nnet.containers.LengthsCapableSequential
wav2vec2: !ref <wav2vec2>
enc: !ref <enc>
ctc_lin: !ref <ctc_lin>
log_softmax: !ref <log_softmax>
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>
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