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dohe0342 2023-02-14 18:00:42 +09:00
parent 0ca6f2b2cf
commit 1bd60745ee
2 changed files with 28 additions and 7 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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@ -583,18 +583,39 @@ def compute_loss(
)
elif params.condition:
dense_fsa_vec1 = k2.DenseFsaVec(
dense_fsa_vec = k2.DenseFsaVec(
nnet_output[0],
supervision_segments,
allow_truncate=params.subsampling_factor - 1,
)
dense_fsa_vec2 = k2.DenseFsaVec(
nnet_output[1][8],
supervision_segments,
allow_truncate=params.subsampling_factor - 1,
)
dense_fsa_vec2 = [
k2.DenseFsaVec(
nnet_output[1][2],
supervision_segments,
allow_truncate=params.subsampling_factor - 1,
),
k2.DenseFsaVec(
nnet_output[1][5],
supervision_segments,
allow_truncate=params.subsampling_factor - 1,
),
k2.DenseFsaVec(
nnet_output[1][8],
supervision_segments,
allow_truncate=params.subsampling_factor - 1,
),
k2.DenseFsaVec(
nnet_output[1][11],
supervision_segments,
allow_truncate=params.subsampling_factor - 1,
),
k2.DenseFsaVec(
nnet_output[1][14],
supervision_segments,
allow_truncate=params.subsampling_factor - 1,
)
]
ctc_loss = (1-params.interctc_weight)* k2.ctc_loss(
decoding_graph=decoding_graph,
dense_fsa_vec=dense_fsa_vec1,