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@ -19,7 +19,7 @@
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Usage:
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Usage:
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export CUDA_VISIBLE_DEVICES="0,1,2,3"
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export CUDA_VISIBLE_DEVICES="0,1,2,3"
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./ctc_tdnn/train.py \
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./ctc_tdnn/train.py \
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--exp-dir ./tdnn/exp \
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--exp-dir ./ctc_tdnn/exp \
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--world-size 4 \
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--world-size 4 \
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--max-duration 200 \
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--max-duration 200 \
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--num-epochs 20
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--num-epochs 20
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@ -552,19 +552,6 @@ def run(rank, world_size, args):
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train_cuts = himia.train_cuts()
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train_cuts = himia.train_cuts()
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def remove_short_and_long_utt(c: Cut):
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# Keep only utterances with duration between 1 second and 20 seconds
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#
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# Caution: There is a reason to select 20.0 here. Please see
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# ../local/display_manifest_statistics.py
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#
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# You should use ../local/display_manifest_statistics.py to get
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# an utterance duration distribution for your dataset to select
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# the threshold
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return 0.5 <= c.duration <= 20.0
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train_cuts = train_cuts.filter(remove_short_and_long_utt)
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train_dl = himia.train_dataloaders(train_cuts)
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train_dl = himia.train_dataloaders(train_cuts)
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valid_cuts = himia.dev_cuts()
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valid_cuts = himia.dev_cuts()
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@ -3,7 +3,7 @@
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set -eou pipefail
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set -eou pipefail
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# You need to execute ./prepare.sh to prepare datasets.
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# You need to execute ./prepare.sh to prepare datasets.
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stage=1
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stage=0
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stop_stage=2
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stop_stage=2
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epoch=10
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epoch=10
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