| | |
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| | | . ./path.sh || exit 1; |
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| | | |
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| | | # machines configuration |
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| | | CUDA_VISIBLE_DEVICES="2,3" |
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| | | CUDA_VISIBLE_DEVICES="0,1" |
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| | | gpu_num=2 |
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| | | count=1 |
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| | | gpu_inference=true # Whether to perform gpu decoding, set false for cpu decoding |
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| | |
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| | | type=sound |
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| | | scp=wav.scp |
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| | | speed_perturb="0.9 1.0 1.1" |
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| | | stage=1 |
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| | | stop_stage=3 |
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| | | stage=0 |
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| | | stop_stage=5 |
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| | | |
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| | | # feature configuration |
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| | | feats_dim=80 |
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| | |
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| | | echo "<unk>" >> ${token_list} |
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| | | fi |
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| | | |
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| | | # Training Stage |
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| | | # ASR Training Stage |
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| | | world_size=$gpu_num # run on one machine |
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| | | if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then |
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| | | echo "stage 3: Training" |
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| | | echo "stage 3: LM Training" |
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| | | fi |
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| | | |
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| | | # Training Stage |
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| | | world_size=$gpu_num # run on one machine |
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| | | if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then |
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| | | echo "stage 4: ASR Training" |
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| | | mkdir -p ${exp_dir}/exp/${model_dir} |
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| | | mkdir -p ${exp_dir}/exp/${model_dir}/log |
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| | | INIT_FILE=${exp_dir}/exp/${model_dir}/ddp_init |
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| | |
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| | | fi |
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| | | |
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| | | # Testing Stage |
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| | | if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then |
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| | | echo "stage 4: Inference" |
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| | | if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then |
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| | | echo "stage 5: Inference" |
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| | | for dset in ${test_sets}; do |
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| | | asr_exp=${exp_dir}/exp/${model_dir} |
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| | | inference_tag="$(basename "${inference_config}" .yaml)" |
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