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# ################################
# Model: wav2vec2-FR-7K-large + DNN + CTC
# ################################
#
# BPE parameters
token_type: char # ["unigram", "bpe", "char"]
character_coverage: 1.0
# Model parameters
# activation: !name:torch.nn.LeakyReLU
wav2vec_output_dim: 1024
dnn_neurons: 1024
freeze_wav2vec: false
wav2vec2_hub: LeBenchmark/wav2vec2-FR-7K-large
# 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
#
# Functions and classes
#
# Encoder network
enc: &id002 !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: &id001 !new:speechbrain.lobes.models.huggingface_wav2vec.HuggingFaceWav2Vec2
source: !ref <wav2vec2_hub>
output_norm: true
freeze: false
save_path: model.pt
ctc_lin: &id003 !new:speechbrain.nnet.linear.Linear
input_size: 1024
n_neurons: 76
log_softmax: !new:speechbrain.nnet.activations.Softmax
apply_log: true
ctc_cost: !name:speechbrain.nnet.losses.ctc_loss
blank_index: 0
modules:
wav2vec2: *id001
enc: *id002
ctc_lin: *id003
model: &id004 !new:torch.nn.ModuleList
- [*id002, *id003]
model_opt_class: !name:torch.optim.Adadelta
lr: 1.0
rho: 0.95
eps: 1.e-8
wav2vec_opt_class: !name:torch.optim.Adam
lr: 0.0001
tokenizer: !new:sentencepiece.SentencePieceProcessor
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>
decoding_type: greedy
pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
loadables:
wav2vec2: !ref <wav2vec2>
asr: !ref <asr_model>
tokenizer: !ref <tokenizer>
modules:
wav2vec2: *id001
enc: *id002
ctc_lin: *id003
encoder: !ref <encoder>
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