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url for pretrained models
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egs/himia/wuw/ctc_tdnn/README.md
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egs/himia/wuw/ctc_tdnn/README.md
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# Pretrained models and releated logs/results.
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## ctc tdnn baseline
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https://huggingface.co/GuoLiyong/himia_ctc_tdnn_baseline
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@ -83,7 +83,7 @@ class HiMiaWuwDataModule:
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group.add_argument(
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group.add_argument(
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"--max-duration",
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"--max-duration",
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type=int,
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type=int,
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default=6000.0,
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default=200.0,
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help="Maximum pooled recordings duration (seconds) in a "
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help="Maximum pooled recordings duration (seconds) in a "
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"single batch. You can reduce it if it causes CUDA OOM.",
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"single batch. You can reduce it if it causes CUDA OOM.",
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)
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)
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@ -17,11 +17,11 @@
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"""
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"""
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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"
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./ctc_tdnn/train.py \
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./ctc_tdnn/train.py \
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--exp-dir ./ctc_tdnn/exp \
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--exp-dir ./ctc_tdnn/exp \
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--world-size 4 \
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--world-size 1 \
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--max-duration 200 \
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--max-duration 100 \
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--num-epochs 20
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--num-epochs 20
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"""
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"""
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@ -8,7 +8,8 @@ stop_stage=2
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epoch=10
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epoch=10
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avg=1
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avg=1
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exp_dir=./ctc_tdnn/exp/
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max_duration=150
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exp_dir=./ctc_tdnn/exp_max_duration_${max_duration}/
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epoch_avg=epoch_${epoch}-avg_${avg}
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epoch_avg=epoch_${epoch}-avg_${avg}
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post_dir=${exp_dir}/post/${epoch_avg}
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post_dir=${exp_dir}/post/${epoch_avg}
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@ -24,7 +25,8 @@ log() {
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if [ $stage -le 0 ] && [ $stop_stage -ge 0 ]; then
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if [ $stage -le 0 ] && [ $stop_stage -ge 0 ]; then
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log "Stage 0: Model training"
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log "Stage 0: Model training"
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python ./ctc_tdnn/train.py \
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python ./ctc_tdnn/train.py \
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--num-epochs $epoch
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--num-epochs $epoch \
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--max-duration $max_duration
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fi
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fi
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if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then
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if [ $stage -le 1 ] && [ $stop_stage -ge 1 ]; then
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