From 433699f03e6b582a383c87eee46529265a2663f6 Mon Sep 17 00:00:00 2001
From: 嘉渊 <wangjiaming.wjm@alibaba-inc.com>
Date: 星期五, 28 四月 2023 10:29:28 +0800
Subject: [PATCH] update
---
egs/aishell/paraformer/run.sh | 116 ++++++++++++++++++++++++++++-----------------------------
1 files changed, 57 insertions(+), 59 deletions(-)
diff --git a/egs/aishell/paraformer/run.sh b/egs/aishell/paraformer/run.sh
index 23fe42d..08caaad 100755
--- a/egs/aishell/paraformer/run.sh
+++ b/egs/aishell/paraformer/run.sh
@@ -16,11 +16,9 @@
feats_dir="../DATA" #feature output dictionary
exp_dir="."
lang=zh
-dumpdir=dump/fbank
-feats_type=fbank
token_type=char
-scp=wav.scp
type=sound
+scp=wav.scp
stage=1
stop_stage=3
@@ -48,7 +46,7 @@
test_sets="dev test"
asr_config=conf/train_asr_paraformer_conformer_12e_6d_2048_256.yaml
-model_dir="baseline_$(basename "${asr_config}" .yaml)_${feats_type}_${lang}_${token_type}_${tag}"
+model_dir="baseline_$(basename "${asr_config}" .yaml)_${lang}_${token_type}_${tag}"
inference_config=conf/decode_asr_transformer_noctc_1best.yaml
inference_asr_model=valid.acc.ave_10best.pb
@@ -145,58 +143,58 @@
wait
fi
-## Testing Stage
-#if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
-# echo "stage 4: Inference"
-# for dset in ${test_sets}; do
-# asr_exp=${exp_dir}/exp/${model_dir}
-# inference_tag="$(basename "${inference_config}" .yaml)"
-# _dir="${asr_exp}/${inference_tag}/${inference_asr_model}/${dset}"
-# _logdir="${_dir}/logdir"
-# if [ -d ${_dir} ]; then
-# echo "${_dir} is already exists. if you want to decode again, please delete this dir first."
-# exit 0
-# fi
-# mkdir -p "${_logdir}"
-# _data="${feats_dir}/${dumpdir}/${dset}"
-# key_file=${_data}/${scp}
-# num_scp_file="$(<${key_file} wc -l)"
-# _nj=$([ $inference_nj -le $num_scp_file ] && echo "$inference_nj" || echo "$num_scp_file")
-# split_scps=
-# for n in $(seq "${_nj}"); do
-# split_scps+=" ${_logdir}/keys.${n}.scp"
-# done
-# # shellcheck disable=SC2086
-# utils/split_scp.pl "${key_file}" ${split_scps}
-# _opts=
-# if [ -n "${inference_config}" ]; then
-# _opts+="--config ${inference_config} "
-# fi
-# ${infer_cmd} --gpu "${_ngpu}" --max-jobs-run "${_nj}" JOB=1:"${_nj}" "${_logdir}"/asr_inference.JOB.log \
-# python -m funasr.bin.asr_inference_launch \
-# --batch_size 1 \
-# --ngpu "${_ngpu}" \
-# --njob ${njob} \
-# --gpuid_list ${gpuid_list} \
-# --data_path_and_name_and_type "${_data}/${scp},speech,${type}" \
-# --key_file "${_logdir}"/keys.JOB.scp \
-# --asr_train_config "${asr_exp}"/config.yaml \
-# --asr_model_file "${asr_exp}"/"${inference_asr_model}" \
-# --output_dir "${_logdir}"/output.JOB \
-# --mode paraformer \
-# ${_opts}
-#
-# for f in token token_int score text; do
-# if [ -f "${_logdir}/output.1/1best_recog/${f}" ]; then
-# for i in $(seq "${_nj}"); do
-# cat "${_logdir}/output.${i}/1best_recog/${f}"
-# done | sort -k1 >"${_dir}/${f}"
-# fi
-# done
-# python utils/proce_text.py ${_dir}/text ${_dir}/text.proc
-# python utils/proce_text.py ${_data}/text ${_data}/text.proc
-# python utils/compute_wer.py ${_data}/text.proc ${_dir}/text.proc ${_dir}/text.cer
-# tail -n 3 ${_dir}/text.cer > ${_dir}/text.cer.txt
-# cat ${_dir}/text.cer.txt
-# done
-#fi
\ No newline at end of file
+# Testing Stage
+if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
+ echo "stage 4: Inference"
+ for dset in ${test_sets}; do
+ asr_exp=${exp_dir}/exp/${model_dir}
+ inference_tag="$(basename "${inference_config}" .yaml)"
+ _dir="${asr_exp}/${inference_tag}/${inference_asr_model}/${dset}"
+ _logdir="${_dir}/logdir"
+ if [ -d ${_dir} ]; then
+ echo "${_dir} is already exists. if you want to decode again, please delete this dir first."
+ exit 0
+ fi
+ mkdir -p "${_logdir}"
+ _data="${feats_dir}/data/${dset}"
+ key_file=${_data}/${scp}
+ num_scp_file="$(<${key_file} wc -l)"
+ _nj=$([ $inference_nj -le $num_scp_file ] && echo "$inference_nj" || echo "$num_scp_file")
+ split_scps=
+ for n in $(seq "${_nj}"); do
+ split_scps+=" ${_logdir}/keys.${n}.scp"
+ done
+ # shellcheck disable=SC2086
+ utils/split_scp.pl "${key_file}" ${split_scps}
+ _opts=
+ if [ -n "${inference_config}" ]; then
+ _opts+="--config ${inference_config} "
+ fi
+ ${infer_cmd} --gpu "${_ngpu}" --max-jobs-run "${_nj}" JOB=1:"${_nj}" "${_logdir}"/asr_inference.JOB.log \
+ python -m funasr.bin.asr_inference_launch \
+ --batch_size 1 \
+ --ngpu "${_ngpu}" \
+ --njob ${njob} \
+ --gpuid_list ${gpuid_list} \
+ --data_path_and_name_and_type "${_data}/${scp},speech,${type}" \
+ --key_file "${_logdir}"/keys.JOB.scp \
+ --asr_train_config "${asr_exp}"/config.yaml \
+ --asr_model_file "${asr_exp}"/"${inference_asr_model}" \
+ --output_dir "${_logdir}"/output.JOB \
+ --mode paraformer \
+ ${_opts}
+
+ for f in token token_int score text; do
+ if [ -f "${_logdir}/output.1/1best_recog/${f}" ]; then
+ for i in $(seq "${_nj}"); do
+ cat "${_logdir}/output.${i}/1best_recog/${f}"
+ done | sort -k1 >"${_dir}/${f}"
+ fi
+ done
+ python utils/proce_text.py ${_dir}/text ${_dir}/text.proc
+ python utils/proce_text.py ${_data}/text ${_data}/text.proc
+ python utils/compute_wer.py ${_data}/text.proc ${_dir}/text.proc ${_dir}/text.cer
+ tail -n 3 ${_dir}/text.cer > ${_dir}/text.cer.txt
+ cat ${_dir}/text.cer.txt
+ done
+fi
\ No newline at end of file
--
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