| | |
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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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| | | # for gpu decoding, inference_nj=ngpu*njob; for cpu decoding, inference_nj=njob |
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| | | njob=1 |
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| | | njob=5 |
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| | | train_cmd=utils/run.pl |
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| | | infer_cmd=utils/run.pl |
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| | | |
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| | |
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| | | asr_config=conf/train_asr_transformer_12e_6d_3072_768.yaml |
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| | | model_dir="baseline_$(basename "${asr_config}" .yaml)_${lang}_${token_type}_${tag}" |
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| | | |
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| | | inference_config=conf/decode_asr_transformer_noctc_1best.yaml |
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| | | inference_asr_model=valid.acc.ave_10best.pb |
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| | | inference_config=conf/decode_asr_transformer.yaml |
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| | | inference_asr_model=valid.cer_ctc.ave_10best.pb |
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| | | |
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| | | # you can set gpu num for decoding here |
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| | | gpuid_list=$CUDA_VISIBLE_DEVICES # set gpus for decoding, the same as training stage by default |
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| | |
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| | | --asr_train_config "${asr_exp}"/config.yaml \ |
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| | | --asr_model_file "${asr_exp}"/"${inference_asr_model}" \ |
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| | | --output_dir "${_logdir}"/output.JOB \ |
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| | | --mode paraformer \ |
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| | | --mode asr \ |
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| | | ${_opts} |
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| | | |
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| | | for f in token token_int score text; do |
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