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dohe0342 2023-02-14 18:02:48 +09:00
parent 1bd60745ee
commit f6b4c61d99
2 changed files with 16 additions and 10 deletions
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egs/tedlium2/ASR/conformer_ctc3/.train.py.swp
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egs/tedlium2/ASR/conformer_ctc3/train.py
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@ -589,8 +589,8 @@ def compute_loss(
allow_truncate=params.subsampling_factor - 1,
)
dense_fsa_vec2 = [
k2.DenseFsaVec(
dense_fsa_vec_inter = [
k2.DenseFsaVec(
nnet_output[1][2],
supervision_segments,
allow_truncate=params.subsampling_factor - 1,
@ -616,19 +616,25 @@ def compute_loss(
allow_truncate=params.subsampling_factor - 1,
)
]
ctc_loss = (1-params.interctc_weight)* k2.ctc_loss(
ctc_loss = k2.ctc_loss(
decoding_graph=decoding_graph,
dense_fsa_vec=dense_fsa_vec1,
output_beam=params.beam_size,
reduction=params.reduction,
use_double_scores=params.use_double_scores,
) + params.interctc_weight * k2.ctc_loss(
decoding_graph=decoding_graph,
dense_fsa_vec=dense_fsa_vec2,
output_beam=params.beam_size,
reduction=params.reduction,
use_double_scores=params.use_double_scores,
)
)
inter_ctc_loss = 0
for fsa in dense_fsa_vec_inter:
inter_ctc_loss += k2.ctc_loss(
decoding_graph=decoding_graph,
dense_fsa_vec=fsa,
output_beam=params.beam_size,
reduction=params.reduction,
use_double_scores=params.use_double_scores,
)
else:
dense_fsa_vec = k2.DenseFsaVec(