游雁
2024-06-10 1cd2812d4653ade8d77b698c0fc1641005ff3d85
examples/industrial_data_pretraining/llm_asr/demo_speech2text.sh
@@ -10,18 +10,18 @@
ckpt_id=$1
device=$2
for data_set in "librispeech_test_clean_speech2text.jsonl" "librispeech_test_other_speech2text.jsonl"; do
    jsonl=${jsonl_dir}/${data_set}
    output_dir=${out_dir}/${data_set}
    mkdir -p ${output_dir}
    pred_file=${output_dir}/1best_recog/text_tn
    ref_file=${output_dir}/1best_recog/label
    python ./demo_speech2text.py ${ckpt_dir} ${ckpt_id} ${jsonl} ${output_dir} ${device}
    python /mnt/workspace/zhifu.gzf/codebase/FunASR/funasr/metrics/wer.py ++ref_file=${ref_file} ++hyp_file=${pred_file} ++cer_file=${pred_file}.cer ++cn_postprocess=false
done
#for data_set in "librispeech_test_clean_speech2text.jsonl" "librispeech_test_other_speech2text.jsonl"; do
#    jsonl=${jsonl_dir}/${data_set}
#    output_dir=${out_dir}/${data_set}
#    mkdir -p ${output_dir}
#    pred_file=${output_dir}/1best_recog/text_tn
#    ref_file=${output_dir}/1best_recog/label
#
#    python ./demo_speech2text.py ${ckpt_dir} ${ckpt_id} ${jsonl} ${output_dir} ${device}
#
#    python /mnt/workspace/zhifu.gzf/codebase/FunASR/funasr/metrics/wer.py ++ref_file=${ref_file} ++hyp_file=${pred_file} ++cer_file=${pred_file}.cer ++cn_postprocess=false
#
#done
for data_set in "aishell1_test_speech2text.jsonl" "aishell2_ios_test_speech2text.jsonl" "librispeech_test_other_speech2text.jsonl"; do