| | |
| | | |
| | | |
| | | |
| | | ckpt_dir="/nfs/beinian.lzr/workspace/GPT-4o/Exp/exp6/5m-8gpu/exp6_speech2text_linear_ddp_0609" |
| | | ckpt_id="model.pt.ep0.90000" |
| | | jsonl_dir="/nfs/beinian.lzr/workspace/GPT-4o/Data/Speech2Text/TestData" |
| | | out_dir="${ckpt_dir}/inference-${ckpt_id}" |
| | | mkdir -p ${out_dir} |
| | | |
| | | device="cuda:0" |
| | | |
| | | ckpt_id=$1 |
| | | device=$2 |
| | | |
| | | ckpt_dir="/nfs/beinian.lzr/workspace/GPT-4o/Exp/exp6/5m-8gpu/exp6_speech2text_linear_ddp_0609" |
| | | jsonl_dir="/nfs/beinian.lzr/workspace/GPT-4o/Data/Speech2Text/TestData" |
| | | |
| | | out_dir="${ckpt_dir}/inference-${ckpt_id}" |
| | | mkdir -p ${out_dir} |
| | | for data_set in "librispeech_test_clean_speech2text.jsonl" "librispeech_test_other_speech2text.jsonl"; do |
| | | { |
| | | jsonl=${jsonl_dir}/${data_set} |
| | | output_dir=${out_dir}/${data_set} |
| | | mkdir -p ${output_dir} |
| | | pred_file=${output_dir}/${data_set}/1best_recog/text_tn |
| | | ref_file=${output_dir}/${data_set}/1best_recog/label |
| | | pred_file=${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 |
| | | wait |
| | | |
| | | |
| | | for data_set in "aishell1_test_speech2text.jsonl" "aishell2_ios_test_speech2text.jsonl" "librispeech_test_other_speech2text.jsonl"; do |
| | | for data_set in "aishell1_test_speech2text.jsonl" "aishell2_ios_test_speech2text.jsonl"; do |
| | | { |
| | | jsonl=${jsonl_dir}/${data_set} |
| | | output_dir=${out_dir}/${data_set} |
| | | mkdir -p ${output_dir} |
| | | pred_file=${output_dir}/${data_set}/1best_recog/text_tn |
| | | ref_file=${output_dir}/${data_set}/1best_recog/label |
| | | pred_file=${output_dir}/1best_recog/text_tn |
| | | ref_file=${output_dir}/1best_recog/label |
| | | |
| | | python ./demo_speech2text.py ${ckpt_dir} ${ckpt_id} ${jsonl} ${output_dir} |
| | | 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=true |
| | | |
| | | }& |
| | | done |
| | | wait |
| | | |
| | | for data_set in "s2tt_en2zh.v20240605.test.jsonl"; do |
| | | for data_set in "common_voice_zh-CN_speech2text.jsonl" "common_voice_en_speech2text.jsonl"; do |
| | | { |
| | | jsonl=${jsonl_dir}/${data_set} |
| | | output_dir=${out_dir}/${data_set} |
| | | mkdir -p ${output_dir} |
| | | pred_file=${output_dir}/${data_set}/1best_recog/text_tn |
| | | ref_file=${output_dir}/${data_set}/1best_recog/label |
| | | pred_file=${output_dir}/1best_recog/text_tn |
| | | ref_file=${output_dir}/1best_recog/label |
| | | |
| | | python ./demo_speech2text.py ${ckpt_dir} ${ckpt_id} ${jsonl} ${output_dir} |
| | | 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=true |
| | | cn_postprocess=false |
| | | if [ $data_set = "common_voice_zh-CN_speech2text.jsonl" ];then |
| | | cn_postprocess=true |
| | | fi |
| | | |
| | | python /mnt/workspace/zhifu.gzf/codebase/FunASR/funasr/metrics/wer.py ++ref_file=${ref_file} ++hyp_file=${pred_file} ++cer_file=${pred_file}.cer ++cn_postprocess=${cn_postprocess} |
| | | |
| | | }& |
| | | done |
| | | |
| | | for data_set in "s2tt_zh2en.v20240605.test.jsonl"; do |
| | | jsonl=${jsonl_dir}/${data_set} |
| | | output_dir=${out_dir}/${data_set} |
| | | mkdir -p ${output_dir} |
| | | pred_file=${output_dir}/${data_set}/1best_recog/text_tn |
| | | ref_file=${output_dir}/${data_set}/1best_recog/label |
| | | |
| | | python ./demo_speech2text.py ${ckpt_dir} ${ckpt_id} ${jsonl} ${output_dir} |
| | | |
| | | python /mnt/workspace/zhifu.gzf/codebase/FunASR/funasr/metrics/wer.py ++ref_file=${ref_file} ++hyp_file=${pred_file} ++cer_file=${pred_file}.cer ++cn_postprocess=true |
| | | |
| | | done |