# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
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# MIT License (https://opensource.org/licenses/MIT)
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# method2, inference from local model
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# for more input type, please ref to readme.md
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input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/KWS/pos_testset/kws_xiaoyunxiaoyun.wav"
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output_dir="./outputs/debug"
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workspace=`pwd`
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# download model
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local_path_root=${workspace}/modelscope_models
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mkdir -p ${local_path_root}
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local_path=${local_path_root}/speech_sanm_kws_phone-xiaoyun-commands-offline
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git clone https://www.modelscope.cn/iic/speech_sanm_kws_phone-xiaoyun-commands-offline.git ${local_path}
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device="cpu" # "cuda:0" for gpu0, "cuda:1" for gpu1, "cpu"
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config="inference_sanm_6e_320_256_fdim40_t2602_offline.yaml"
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tokens="${local_path}/tokens_2602.txt"
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seg_dict="${local_path}/lexicon.txt"
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init_param="${local_path}/finetune_sanm_6e_320_256_fdim40_t2602_offline_xiaoyun_commands.pt"
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cmvn_file="${local_path}/am.mvn.dim40_l3r3"
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keywords=(小云小云)
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keywords_string=$(IFS=,; echo "${keywords[*]}")
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echo "keywords: $keywords_string"
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python -m funasr.bin.inference \
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--config-path "${local_path}/" \
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--config-name "${config}" \
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++init_param="${init_param}" \
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++frontend_conf.cmvn_file="${cmvn_file}" \
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++tokenizer_conf.token_list="${tokens}" \
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++tokenizer_conf.seg_dict="${seg_dict}" \
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++input="${input}" \
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++output_dir="${output_dir}" \
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++device="${device}" \
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++keywords="\"$keywords_string"\"
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