#!/usr/bin/env bash
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# Set bash to 'debug' mode, it will exit on :
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# -e 'error', -u 'undefined variable', -o ... 'error in pipeline', -x 'print commands',
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set -e
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set -u
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set -o pipefail
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ngpu=4
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device="0,1,2,3"
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stage=1
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stop_stage=16
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train_set=Train_Ali_far
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valid_set=Eval_Ali_far
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test_sets="Test_Ali_far"
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asr_config=conf/train_asr_conformer.yaml
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sa_asr_config=conf/train_sa_asr_conformer.yaml
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inference_config=conf/decode_asr_rnn.yaml
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infer_with_pretrained_model=false
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download_sa_asr_model="damo/speech_saasr_asr-zh-cn-16k-alimeeting"
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lm_config=conf/train_lm_transformer.yaml
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use_lm=false
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use_wordlm=false
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./asr_local.sh \
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--device ${device} \
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--ngpu ${ngpu} \
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--stage ${stage} \
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--stop_stage ${stop_stage} \
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--gpu_inference true \
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--njob_infer 4 \
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--infer_with_pretrained_model ${infer_with_pretrained_model} \
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--download_sa_asr_model $download_sa_asr_model \
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--asr_exp exp/asr_train_multispeaker_conformer_raw_zh_char_data_alimeeting \
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--sa_asr_exp exp/sa_asr_train_conformer_raw_zh_char_data_alimeeting \
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--asr_stats_dir exp/asr_stats_multispeaker_conformer_raw_zh_char_data_alimeeting \
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--lm_exp exp/lm_train_multispeaker_transformer_zh_char_data_alimeeting \
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--lm_stats_dir exp/lm_stats_multispeaker_zh_char_data_alimeeting \
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--lang zh \
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--audio_format wav \
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--feats_type raw \
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--token_type char \
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--use_lm ${use_lm} \
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--use_word_lm ${use_wordlm} \
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--lm_config "${lm_config}" \
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--asr_config "${asr_config}" \
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--sa_asr_config "${sa_asr_config}" \
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--inference_config "${inference_config}" \
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--train_set "${train_set}" \
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--valid_set "${valid_set}" \
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--test_sets "${test_sets}" \
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--lm_train_text "data/${train_set}/text" "$@"
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