From 1596f6f414f6f41da66506debb1dff19fffeb3ec Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期一, 24 六月 2024 11:55:17 +0800
Subject: [PATCH] fixbug hotwords

---
 examples/industrial_data_pretraining/llm_asr/demo_speech2text.sh |   64 ++++++++++++++++---------------
 1 files changed, 33 insertions(+), 31 deletions(-)

diff --git a/examples/industrial_data_pretraining/llm_asr/demo_speech2text.sh b/examples/industrial_data_pretraining/llm_asr/demo_speech2text.sh
index 81f211f..57299fc 100644
--- a/examples/industrial_data_pretraining/llm_asr/demo_speech2text.sh
+++ b/examples/industrial_data_pretraining/llm_asr/demo_speech2text.sh
@@ -1,63 +1,65 @@
 
 
-
-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
\ No newline at end of file
+wait
\ No newline at end of file

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