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cer tool

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This commit is contained in:
游雁 2023-03-22 19:01:04 +08:00
parent efc829e893
commit a8725a8dcc
2 changed files with 10 additions and 8 deletions
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4
funasr/runtime/python/utils/infer.py
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@ -37,8 +37,8 @@ token_f = open(os.path.join(output_dir, "token"), "w", newline=newline)
for i, wav_path_i in enumerate(wav_files):
wav_name, wav_path = wav_path_i.strip().split()
result = model(wav_path)
text_i = "{} {}\n".format(wav_name, result[0])
token_i = "{} {}\n".format(wav_name, result[1])
text_i = "{} {}\n".format(wav_name, result[0]['preds'][0])
token_i = "{} {}\n".format(wav_name, result[0]['preds'][1])
text_f.write(text_i)
text_f.flush()
token_f.write(token_i)

14
funasr/runtime/python/utils/infer.sh
View File

@ -1,4 +1,9 @@
split_scps_tool=split_scp.pl
inference_tool=infer.py
proce_text_tool=proce_text.py
compute_wer_tool=compute_wer.py
nj=32
stage=0
stop_stage=2
@ -6,10 +11,7 @@ stop_stage=2
scp="/nfs/haoneng.lhn/funasr_data/aishell-1/data/test/wav.scp"
label_text="/nfs/haoneng.lhn/funasr_data/aishell-1/data/test/text"
export_root="/nfs/zhifu.gzf/export"
split_scps_tool=split_scp.pl
inference_tool=infer.py
proce_text_tool=proce_text.py
compute_wer_tool=compute_wer.py
#:<<!
model_name="damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch"
@ -44,7 +46,7 @@ if [ $stage -le 1 ] && [ $stop_stage -ge 1 ];then
for JOB in $(seq ${nj}); do
{
core_id=`expr $JOB - 1`
taskset -c ${core_id} python ${rtf_tool} --backend ${backend} --model_dir ${model_dir} --wav_file ${output_dir}/wav.$JOB.scp --quantize ${quantize} --output_dir ${output_dir}/${JOB} &> ${output_dir}/log.$JOB.txt
taskset -c ${core_id} python ${inference_tool} --backend ${backend} --model_dir ${model_dir} --wav_file ${output_dir}/wav.$JOB.scp --quantize ${quantize} --output_dir ${output_dir}/${JOB} &> ${output_dir}/log.$JOB.txt
}&
done
@ -54,7 +56,7 @@ if [ $stage -le 1 ] && [ $stop_stage -ge 1 ];then
for f in token text; do
if [ -f "${output_dir}/1/${f}" ]; then
for JOB in $(seq "${nj}"); do
cat "${output_dir}/${JOB}/1best_recog/${f}"
cat "${output_dir}/${JOB}/${f}"
done | sort -k1 >"${output_dir}/1best_recog/${f}"
fi
done