diff --git a/speechx/examples/dev/CMakeLists.txt b/speechx/examples/dev/CMakeLists.txt
deleted file mode 100644
index c8445fb82..000000000
--- a/speechx/examples/dev/CMakeLists.txt
+++ /dev/null
@@ -1,3 +0,0 @@
-cmake_minimum_required(VERSION 3.14 FATAL_ERROR)
-
-add_subdirectory(glog)
diff --git a/speechx/examples/dev/glog/CMakeLists.txt b/speechx/examples/dev/glog/CMakeLists.txt
deleted file mode 100644
index b4b0e6358..000000000
--- a/speechx/examples/dev/glog/CMakeLists.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-cmake_minimum_required(VERSION 3.14 FATAL_ERROR)
-
-add_executable(glog_test ${CMAKE_CURRENT_SOURCE_DIR}/glog_test.cc)
-target_link_libraries(glog_test glog)
-
-
-add_executable(glog_logtostderr_test ${CMAKE_CURRENT_SOURCE_DIR}/glog_logtostderr_test.cc)
-target_link_libraries(glog_logtostderr_test glog)
\ No newline at end of file
diff --git a/speechx/examples/dev/glog/README.md b/speechx/examples/dev/glog/README.md
deleted file mode 100644
index 996e192e9..000000000
--- a/speechx/examples/dev/glog/README.md
+++ /dev/null
@@ -1,25 +0,0 @@
-# [GLOG](https://rpg.ifi.uzh.ch/docs/glog.html)
-
-Unless otherwise specified, glog writes to the filename `/tmp/<program name>.<hostname>.<user name>.log.<severity level>.<date>.<time>.<pid>` (e.g., "/tmp/hello_world.example.com.hamaji.log.INFO.20080709-222411.10474"). By default, glog copies the log messages of severity level ERROR or FATAL to standard error (stderr) in addition to log files.
-
-Several flags influence glog's output behavior. If the Google gflags library is installed on your machine, the configure script (see the INSTALL file in the package for detail of this script) will automatically detect and use it, allowing you to pass flags on the command line. For example, if you want to turn the flag --logtostderr on, you can start your application with the following command line:
-
-   `./your_application --logtostderr=1`
-
-If the Google gflags library isn't installed, you set flags via environment variables, prefixing the flag name with "GLOG_", e.g.
-
-   `GLOG_logtostderr=1 ./your_application`
-
-You can also modify flag values in your program by modifying global variables `FLAGS_*` . Most settings start working immediately after you update `FLAGS_*` . The exceptions are the flags related to destination files. For example, you might want to set `FLAGS_log_dir` before calling `google::InitGoogleLogging` . Here is an example:
-∂∂
-```c++
-   LOG(INFO) << "file";
-   // Most flags work immediately after updating values.
-   FLAGS_logtostderr = 1;
-   LOG(INFO) << "stderr";
-   FLAGS_logtostderr = 0;
-   // This won't change the log destination. If you want to set this
-   // value, you should do this before google::InitGoogleLogging .
-   FLAGS_log_dir = "/some/log/directory";
-   LOG(INFO) << "the same file";
-```
diff --git a/speechx/examples/dev/glog/glog_logtostderr_test.cc b/speechx/examples/dev/glog/glog_logtostderr_test.cc
deleted file mode 100644
index b0616a7de..000000000
--- a/speechx/examples/dev/glog/glog_logtostderr_test.cc
+++ /dev/null
@@ -1,25 +0,0 @@
-// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#include <glog/logging.h>
-
-int main(int argc, char* argv[]) {
-    // Initialize Google’s logging library.
-    google::InitGoogleLogging(argv[0]);
-
-    FLAGS_logtostderr = 1;
-
-    LOG(INFO) << "Found " << 10 << " cookies";
-    LOG(ERROR) << "Found " << 10 << " error";
-}
\ No newline at end of file
diff --git a/speechx/examples/dev/glog/glog_test.cc b/speechx/examples/dev/glog/glog_test.cc
deleted file mode 100644
index b6275119e..000000000
--- a/speechx/examples/dev/glog/glog_test.cc
+++ /dev/null
@@ -1,23 +0,0 @@
-// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-#include <glog/logging.h>
-
-int main(int argc, char* argv[]) {
-    // Initialize Google’s logging library.
-    google::InitGoogleLogging(argv[0]);
-
-    LOG(INFO) << "Found " << 10 << " cookies";
-    LOG(ERROR) << "Found " << 10 << " error";
-}
\ No newline at end of file
diff --git a/speechx/examples/dev/glog/path.sh b/speechx/examples/dev/glog/path.sh
deleted file mode 100644
index 1a96a861a..000000000
--- a/speechx/examples/dev/glog/path.sh
+++ /dev/null
@@ -1,15 +0,0 @@
-# This contains the locations of binarys build required for running the examples.
-
-SPEECHX_ROOT=$PWD/../../../
-
-SPEECHX_TOOLS=$SPEECHX_ROOT/tools
-TOOLS_BIN=$SPEECHX_TOOLS/valgrind/install/bin
-
-
-SPEECHX_EXAMPLES=$SPEECHX_ROOT/build/examples
-[ -d $SPEECHX_EXAMPLES ] || { echo "Error: 'build/examples' directory not found. please ensure that the project build successfully"; }
-
-SPEECHX_BIN=$SPEECHX_EXAMPLES/dev/glog
-export PATH=$PATH:$SPEECHX_BIN:$TOOLS_BIN
-
-export LC_AL=C
diff --git a/speechx/examples/dev/glog/run.sh b/speechx/examples/dev/glog/run.sh
deleted file mode 100755
index d3fcdb643..000000000
--- a/speechx/examples/dev/glog/run.sh
+++ /dev/null
@@ -1,22 +0,0 @@
-#!/bin/bash
-set +x
-set -e
-
-. ./path.sh
-
-# 1. compile
-if [ ! -d ${SPEECHX_EXAMPLES} ]; then
-    pushd ${SPEECHX_ROOT} 
-    bash build.sh
-    popd
-fi
-
-# 2. run 
-glog_test
-
-echo "------"
-export FLAGS_logtostderr=1 
-glog_test
-
-echo "------"
-glog_logtostderr_test
diff --git a/speechx/examples/ds2_ol/aishell/README.md b/speechx/examples/ds2_ol/aishell/README.md
index 1ed8a67c2..3e7af9244 100644
--- a/speechx/examples/ds2_ol/aishell/README.md
+++ b/speechx/examples/ds2_ol/aishell/README.md
@@ -42,3 +42,40 @@ Overall -> 10.93 % N=104765 C=93410 S=9780 D=1575 I=95
 Mandarin -> 10.93 % N=104762 C=93410 S=9779 D=1573 I=95
 Other -> 100.00 % N=3 C=0 S=1 D=2 I=0
 ```
+
+## fbank
+```
+bash run_fbank.sh
+```
+
+### CTC Prefix Beam Search w/o LM
+
+```
+Overall -> 10.44 % N=104765 C=94194 S=10174 D=397 I=369
+Mandarin -> 10.44 % N=104762 C=94194 S=10171 D=397 I=369
+Other -> 100.00 % N=3 C=0 S=3 D=0 I=0
+```
+
+### CTC Prefix Beam Search w/ LM
+
+LM: zh_giga.no_cna_cmn.prune01244.klm
+
+```
+Overall -> 5.82 % N=104765 C=99386 S=4944 D=435 I=720
+Mandarin -> 5.82 % N=104762 C=99386 S=4941 D=435 I=720
+English -> 0.00 % N=0 C=0 S=0 D=0 I=0
+```
+
+### CTC WFST
+
+LM: [aishell train](https://paddlespeech.bj.bcebos.com/s2t/paddle_asr_online/aishell_graph2.zip)
+```
+Overall -> 9.58 % N=104765 C=94817 S=4326 D=5622 I=84
+Mandarin -> 9.57 % N=104762 C=94817 S=4325 D=5620 I=84
+Other -> 100.00 % N=3 C=0 S=1 D=2 I=0
+```
+
+## build TLG graph 
+```
+ bash run_build_tlg.sh
+```
diff --git a/speechx/examples/ngram/zh/local/aishell_train_lms.sh b/speechx/examples/ds2_ol/aishell/local/aishell_train_lms.sh
similarity index 100%
rename from speechx/examples/ngram/zh/local/aishell_train_lms.sh
rename to speechx/examples/ds2_ol/aishell/local/aishell_train_lms.sh
diff --git a/speechx/examples/ngram/zh/local/text_to_lexicon.py b/speechx/examples/ds2_ol/aishell/local/text_to_lexicon.py
similarity index 100%
rename from speechx/examples/ngram/zh/local/text_to_lexicon.py
rename to speechx/examples/ds2_ol/aishell/local/text_to_lexicon.py
diff --git a/speechx/examples/ds2_ol/aishell/path.sh b/speechx/examples/ds2_ol/aishell/path.sh
index 520129eaf..1807a277a 100755
--- a/speechx/examples/ds2_ol/aishell/path.sh
+++ b/speechx/examples/ds2_ol/aishell/path.sh
@@ -1,5 +1,6 @@
 # This contains the locations of binarys build required for running the examples.
 
+MAIN_ROOT=`realpath $PWD/../../../../`
 SPEECHX_ROOT=$PWD/../../..
 SPEECHX_EXAMPLES=$SPEECHX_ROOT/build/examples
 
@@ -10,5 +11,14 @@ TOOLS_BIN=$SPEECHX_TOOLS/valgrind/install/bin
 
 export LC_AL=C
 
+# openfst bin & kaldi bin
+KALDI_DIR=$SPEECHX_ROOT/build/speechx/kaldi/
+OPENFST_DIR=$SPEECHX_ROOT/fc_patch/openfst-build/src
+
+# srilm
+export LIBLBFGS=${MAIN_ROOT}/tools/liblbfgs-1.10
+export LD_LIBRARY_PATH=${LD_LIBRARY_PATH:-}:${LIBLBFGS}/lib/.libs
+export SRILM=${MAIN_ROOT}/tools/srilm
+
 SPEECHX_BIN=$SPEECHX_EXAMPLES/ds2_ol/decoder:$SPEECHX_EXAMPLES/ds2_ol/feat:$SPEECHX_EXAMPLES/ds2_ol/websocket
-export PATH=$PATH:$SPEECHX_BIN:$TOOLS_BIN
+export PATH=$PATH:$SPEECHX_BIN:$TOOLS_BIN:${SRILM}/bin:${SRILM}/bin/i686-m64:$KALDI_DIR/lmbin:$KALDI_DIR/fstbin:$OPENFST_DIR/bin
diff --git a/speechx/examples/ds2_ol/aishell/run_build_tlg.sh b/speechx/examples/ds2_ol/aishell/run_build_tlg.sh
new file mode 100755
index 000000000..4394ac5a0
--- /dev/null
+++ b/speechx/examples/ds2_ol/aishell/run_build_tlg.sh
@@ -0,0 +1,141 @@
+#!/bin/bash
+set -eo pipefail
+
+. path.sh
+
+# attention, please replace the vocab is only for this script. 
+# different acustic model has different vocab
+ckpt_dir=data/fbank_model
+unit=$ckpt_dir/data/lang_char/vocab.txt       # vocab file, line: char/spm_pice
+model_dir=$ckpt_dir/exp/deepspeech2_online/checkpoints/
+
+stage=-1
+stop_stage=100
+corpus=aishell
+lexicon=data/lexicon.txt  # line: word ph0 ... phn, aishell/resource_aishell/lexicon.txt
+text=data/text            # line: utt text, aishell/data_aishell/transcript/aishell_transcript_v0.8.txt
+
+. utils/parse_options.sh
+
+data=$PWD/data
+mkdir -p $data
+
+if [ $stage -le -1 ] && [ $stop_stage -ge -1 ]; then
+    if [ ! -f $data/speech.ngram.zh.tar.gz ];then
+        pushd $data
+        wget -c http://paddlespeech.bj.bcebos.com/speechx/examples/ngram/zh/speech.ngram.zh.tar.gz
+        tar xvzf speech.ngram.zh.tar.gz
+        popd
+    fi
+
+    if [ ! -f $ckpt_dir/data/mean_std.json ]; then
+        mkdir -p $ckpt_dir
+        pushd $ckpt_dir
+        wget -c https://paddlespeech.bj.bcebos.com/s2t/wenetspeech/asr0/WIP1_asr0_deepspeech2_online_wenetspeech_ckpt_1.0.0a.model.tar.gz
+        tar xzfv WIP1_asr0_deepspeech2_online_wenetspeech_ckpt_1.0.0a.model.tar.gz
+        popd
+    fi
+fi
+
+if [ ! -f $unit ]; then
+    echo "$0: No such file $unit"
+    exit 1;
+fi
+
+if ! which ngram-count; then
+    pushd $MAIN_ROOT/tools
+    make srilm.done
+    popd
+fi
+
+mkdir -p data/local/dict
+if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
+    # Prepare dict
+    # line: char/spm_pices
+    cp $unit data/local/dict/units.txt
+
+    if [ ! -f $lexicon ];then
+       utils/text_to_lexicon.py --has_key true --text $text --lexicon $lexicon
+        echo "Generate $lexicon from $text"
+    fi
+
+    # filter by vocab
+    # line: word ph0 ... phn -> line: word char0 ... charn
+    utils/fst/prepare_dict.py \
+        --unit_file $unit \
+        --in_lexicon ${lexicon} \
+        --out_lexicon data/local/dict/lexicon.txt
+fi
+
+lm=data/local/lm
+mkdir -p $lm
+
+if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
+    # Train lm
+    cp $text $lm/text
+    local/aishell_train_lms.sh
+    echo "build LM done."
+fi
+
+# build TLG
+if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
+  # build T & L
+  utils/fst/compile_lexicon_token_fst.sh \
+      data/local/dict data/local/tmp data/local/lang
+ 
+  # build G & TLG
+  utils/fst/make_tlg.sh data/local/lm data/local/lang data/lang_test || exit 1;
+
+fi
+
+aishell_wav_scp=aishell_test.scp
+nj=40
+cmvn=$data/cmvn_fbank.ark
+wfst=$data/lang_test
+
+if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
+
+    if [ ! -d $data/test ]; then
+        pushd $data
+        wget -c https://paddlespeech.bj.bcebos.com/s2t/paddle_asr_online/aishell_test.zip
+        unzip  aishell_test.zip
+        popd
+
+        realpath $data/test/*/*.wav > $data/wavlist
+        awk -F '/' '{ print $(NF) }' $data/wavlist | awk -F '.' '{ print $1 }' > $data/utt_id
+        paste $data/utt_id $data/wavlist > $data/$aishell_wav_scp
+    fi
+
+    ./local/split_data.sh $data $data/$aishell_wav_scp $aishell_wav_scp $nj
+
+    cmvn-json2kaldi --json_file=$ckpt_dir/data/mean_std.json --cmvn_write_path=$cmvn
+fi
+
+wer=aishell_wer
+label_file=aishell_result
+export GLOG_logtostderr=1
+
+if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
+    #  TLG decoder
+    utils/run.pl JOB=1:$nj $data/split${nj}/JOB/check_tlg.log \
+    recognizer_test_main \
+        --wav_rspecifier=scp:$data/split${nj}/JOB/${aishell_wav_scp} \
+        --cmvn_file=$cmvn \
+        --model_path=$model_dir/avg_5.jit.pdmodel \
+        --streaming_chunk=30 \
+        --use_fbank=true \
+        --param_path=$model_dir/avg_5.jit.pdiparams \
+        --word_symbol_table=$wfst/words.txt \
+        --model_output_names=softmax_0.tmp_0,tmp_5,concat_0.tmp_0,concat_1.tmp_0 \
+        --model_cache_shapes="5-1-2048,5-1-2048" \
+        --graph_path=$wfst/TLG.fst --max_active=7500 \
+        --acoustic_scale=1.2 \
+        --result_wspecifier=ark,t:$data/split${nj}/JOB/result_check_tlg
+
+    cat $data/split${nj}/*/result_check_tlg > $exp/${label_file}_check_tlg
+    utils/compute-wer.py --char=1 --v=1 $text $exp/${label_file}_check_tlg > $exp/${wer}.check_tlg
+    echo "recognizer test have finished!!!"
+    echo "please checkout in ${exp}/${wer}.check_tlg"
+fi
+
+exit 0
diff --git a/speechx/examples/ds2_ol/aishell/run_fbank.sh b/speechx/examples/ds2_ol/aishell/run_fbank.sh
index 3d4825ace..483fbfdfe 100755
--- a/speechx/examples/ds2_ol/aishell/run_fbank.sh
+++ b/speechx/examples/ds2_ol/aishell/run_fbank.sh
@@ -154,7 +154,6 @@ if [ ${stage} -le 5 ] && [ ${stop_stage} -ge 5 ]; then
         --model_path=$model_dir/avg_5.jit.pdmodel \
         --streaming_chunk=30 \
         --use_fbank=true \
-        --to_float32=false \
         --param_path=$model_dir/avg_5.jit.pdiparams \
         --word_symbol_table=$wfst/words.txt \
         --model_output_names=softmax_0.tmp_0,tmp_5,concat_0.tmp_0,concat_1.tmp_0 \
diff --git a/speechx/examples/ngram/.gitignore b/speechx/examples/ngram/.gitignore
deleted file mode 100644
index bbd86a25b..000000000
--- a/speechx/examples/ngram/.gitignore
+++ /dev/null
@@ -1,2 +0,0 @@
-data
-exp
diff --git a/speechx/examples/ngram/en/README.md b/speechx/examples/ngram/en/README.md
deleted file mode 100644
index e69de29bb..000000000
diff --git a/speechx/examples/ngram/zh/README.md b/speechx/examples/ngram/zh/README.md
deleted file mode 100644
index e11bd3439..000000000
--- a/speechx/examples/ngram/zh/README.md
+++ /dev/null
@@ -1,101 +0,0 @@
-# ngram train for mandarin
-
-Quick run:
-```
-bash run.sh --stage -1
-```
-
-## input
-
-input files:
-```
-data/
-├── lexicon.txt
-├── text
-└── vocab.txt
-```
-
-```
-==> data/text <==
-BAC009S0002W0122 而 对 楼市 成交 抑制 作用 最 大 的 限 购
-BAC009S0002W0123 也 成为 地方 政府 的 眼中 钉
-BAC009S0002W0124 自 六月 底 呼和浩特 市 率先 宣布 取消 限 购 后
-BAC009S0002W0125 各地 政府 便 纷纷 跟进
-BAC009S0002W0126 仅 一 个 多 月 的 时间 里
-BAC009S0002W0127 除了 北京 上海 广州 深圳 四 个 一 线 城市 和 三亚 之外
-BAC009S0002W0128 四十六 个 限 购 城市 当中
-BAC009S0002W0129 四十一 个 已 正式 取消 或 变相 放松 了 限 购
-BAC009S0002W0130 财政 金融 政策 紧随 其后 而来
-BAC009S0002W0131 显示 出 了 极 强 的 威力
-
-==> data/lexicon.txt <==
-SIL sil
-<SPOKEN_NOISE> sil
-啊 aa a1
-啊 aa a2
-啊 aa a4
-啊 aa a5
-啊啊啊 aa a2 aa a2 aa a2
-啊啊啊 aa a5 aa a5 aa a5
-坐地 z uo4 d i4
-坐实 z uo4 sh ix2
-坐视 z uo4 sh ix4
-坐稳 z uo4 uu un3
-坐拥 z uo4 ii iong1
-坐诊 z uo4 zh en3
-坐庄 z uo4 zh uang1
-坐姿 z uo4 z iy1
-
-==> data/vocab.txt <==
-<blank>
-<unk>
-A
-B
-C
-D
-E
-龙
-龚
-龛
-<eos>
-```
-
-## output
-
-```
-data/
-├── local
-│   ├── dict
-│   │   ├── lexicon.txt
-│   │   └── units.txt
-│   └── lm
-│       ├── heldout
-│       ├── lm.arpa
-│       ├── text
-│       ├── text.no_oov
-│       ├── train
-│       ├── unigram.counts
-│       ├── word.counts
-│       └── wordlist
-```
-
-```
-/workspace/srilm/bin/i686-m64/ngram-count
-Namespace(bpemodel=None, in_lexicon='data/lexicon.txt', out_lexicon='data/local/dict/lexicon.txt', unit_file='data/vocab.txt')
-Ignoring words 矽, which contains oov unit
-Ignoring words 傩, which contains oov unit
-Ignoring words 堀, which contains oov unit
-Ignoring words 莼, which contains oov unit
-Ignoring words 菰, which contains oov unit
-Ignoring words 摭, which contains oov unit
-Ignoring words 帙, which contains oov unit
-Ignoring words 迨, which contains oov unit
-Ignoring words 孥, which contains oov unit
-Ignoring words 瑗, which contains oov unit
-...
-...
-...
-file data/local/lm/heldout: 10000 sentences, 89496 words, 0 OOVs
-0 zeroprobs, logprob= -270337.9 ppl= 521.2819 ppl1= 1048.745
-build LM done.
-```
diff --git a/speechx/examples/ngram/zh/local/split_data.sh b/speechx/examples/ngram/zh/local/split_data.sh
deleted file mode 100755
index 2af6fc5ab..000000000
--- a/speechx/examples/ngram/zh/local/split_data.sh
+++ /dev/null
@@ -1,30 +0,0 @@
-#!/usr/bin/env bash
-
-set -eo pipefail
-
-data=$1
-scp=$2
-split_name=$3
-numsplit=$4
-
-# save in $data/split{n}
-# $scp to split
-# 
-
-if [[ ! $numsplit -gt 0 ]]; then
-  echo "Invalid num-split argument";
-  exit 1;
-fi
-
-directories=$(for n in `seq $numsplit`; do echo $data/split${numsplit}/$n; done)
-scp_splits=$(for n in `seq $numsplit`; do echo $data/split${numsplit}/$n/${split_name}; done)
-
-# if this mkdir fails due to argument-list being too long, iterate.
-if ! mkdir -p $directories >&/dev/null; then
-  for n in `seq $numsplit`; do
-    mkdir -p $data/split${numsplit}/$n
-  done
-fi
-
-echo "utils/split_scp.pl $scp $scp_splits"
-utils/split_scp.pl $scp $scp_splits
diff --git a/speechx/examples/ngram/zh/path.sh b/speechx/examples/ngram/zh/path.sh
deleted file mode 100644
index a3fb3d758..000000000
--- a/speechx/examples/ngram/zh/path.sh
+++ /dev/null
@@ -1,12 +0,0 @@
-# This contains the locations of binarys build required for running the examples.
-
-MAIN_ROOT=`realpath $PWD/../../../../`
-SPEECHX_ROOT=`realpath $MAIN_ROOT/speechx`
-
-export LC_AL=C
-
-# srilm
-export LIBLBFGS=${MAIN_ROOT}/tools/liblbfgs-1.10
-export LD_LIBRARY_PATH=${LD_LIBRARY_PATH:-}:${LIBLBFGS}/lib/.libs
-export SRILM=${MAIN_ROOT}/tools/srilm
-export PATH=${PATH}:${SRILM}/bin:${SRILM}/bin/i686-m64
diff --git a/speechx/examples/ngram/zh/run.sh b/speechx/examples/ngram/zh/run.sh
deleted file mode 100755
index f24ad0a7c..000000000
--- a/speechx/examples/ngram/zh/run.sh
+++ /dev/null
@@ -1,68 +0,0 @@
-#!/bin/bash
-set -eo pipefail
-
-. path.sh
-
-stage=-1
-stop_stage=100
-corpus=aishell
-
-unit=data/vocab.txt       # vocab file, line: char/spm_pice
-lexicon=data/lexicon.txt  # line: word ph0 ... phn, aishell/resource_aishell/lexicon.txt
-text=data/text            # line: utt text, aishell/data_aishell/transcript/aishell_transcript_v0.8.txt
-
-. utils/parse_options.sh
-
-data=$PWD/data
-mkdir -p $data
-
-if [ $stage -le -1 ] && [ $stop_stage -ge -1 ]; then
-    if [ ! -f $data/speech.ngram.zh.tar.gz ];then
-        pushd $data
-        wget -c http://paddlespeech.bj.bcebos.com/speechx/examples/ngram/zh/speech.ngram.zh.tar.gz
-        tar xvzf speech.ngram.zh.tar.gz
-        popd
-    fi
-fi
-
-if [ ! -f $unit ]; then
-    echo "$0: No such file $unit"
-    exit 1;
-fi
-
-if ! which ngram-count; then
-    pushd $MAIN_ROOT/tools
-    make srilm.done
-    popd
-fi
-
-mkdir -p data/local/dict
-if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
-    # 7.1 Prepare dict
-    # line: char/spm_pices
-    cp $unit data/local/dict/units.txt
-
-    if [ ! -f $lexicon ];then
-        local/text_to_lexicon.py --has_key true --text $text --lexicon $lexicon
-        echo "Generate $lexicon from $text"
-    fi
-
-    # filter by vocab
-    # line: word ph0 ... phn -> line: word char0 ... charn
-    utils/fst/prepare_dict.py \
-        --unit_file $unit \
-        --in_lexicon ${lexicon} \
-        --out_lexicon data/local/dict/lexicon.txt
-fi
-
-lm=data/local/lm
-mkdir -p $lm
-
-if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
-    # 7.2 Train lm
-    cp $text $lm/text
-    local/aishell_train_lms.sh
-fi
-
-echo "build LM done."
-exit 0
diff --git a/speechx/examples/ngram/zh/utils b/speechx/examples/ngram/zh/utils
deleted file mode 120000
index c2519a9dd..000000000
--- a/speechx/examples/ngram/zh/utils
+++ /dev/null
@@ -1 +0,0 @@
-../../../../utils/
\ No newline at end of file
diff --git a/speechx/examples/wfst/.gitignore b/speechx/examples/wfst/.gitignore
deleted file mode 100644
index 1269488f7..000000000
--- a/speechx/examples/wfst/.gitignore
+++ /dev/null
@@ -1 +0,0 @@
-data
diff --git a/speechx/examples/wfst/README.md b/speechx/examples/wfst/README.md
deleted file mode 100644
index d0bdac0fc..000000000
--- a/speechx/examples/wfst/README.md
+++ /dev/null
@@ -1,186 +0,0 @@
-# Built TLG wfst
-
-## Input
-```
-data/local/
-├── dict
-│   ├── lexicon.txt
-│   └── units.txt
-└── lm
-    ├── heldout
-    ├── lm.arpa
-    ├── text
-    ├── text.no_oov
-    ├── train
-    ├── unigram.counts
-    ├── word.counts
-    └── wordlist
-```
-
-```
-==> data/local/dict/lexicon.txt <==
-啊 啊
-啊啊啊 啊 啊 啊
-阿 阿
-阿尔 阿 尔
-阿根廷 阿 根 廷
-阿九 阿 九
-阿克 阿 克
-阿拉伯数字 阿 拉 伯 数 字
-阿拉法特 阿 拉 法 特
-阿拉木图 阿 拉 木 图
-
-==> data/local/dict/units.txt <==
-<blank>
-<unk>
-A
-B
-C
-D
-E
-F
-G
-H
-
-==> data/local/lm/heldout <==
-而 对 楼市 成交 抑制 作用 最 大 的 限 购
-也 成为 地方 政府 的 眼中 钉
-自 六月 底 呼和浩特 市 率先 宣布 取消 限 购 后
-各地 政府 便 纷纷 跟进
-仅 一 个 多 月 的 时间 里
-除了 北京 上海 广州 深圳 四 个 一 线 城市 和 三亚 之外
-四十六 个 限 购 城市 当中
-四十一 个 已 正式 取消 或 变相 放松 了 限 购
-财政 金融 政策 紧随 其后 而来
-显示 出 了 极 强 的 威力
-
-==> data/local/lm/lm.arpa <==
-
-\data\
-ngram 1=129356
-ngram 2=504661
-ngram 3=123455
-
-\1-grams:
--1.531278       </s>
--3.828829       <SPOKEN_NOISE>  -0.1600094
--6.157292       <UNK>
-
-==> data/local/lm/text <==
-BAC009S0002W0122 而 对 楼市 成交 抑制 作用 最 大 的 限 购
-BAC009S0002W0123 也 成为 地方 政府 的 眼中 钉
-BAC009S0002W0124 自 六月 底 呼和浩特 市 率先 宣布 取消 限 购 后
-BAC009S0002W0125 各地 政府 便 纷纷 跟进
-BAC009S0002W0126 仅 一 个 多 月 的 时间 里
-BAC009S0002W0127 除了 北京 上海 广州 深圳 四 个 一 线 城市 和 三亚 之外
-BAC009S0002W0128 四十六 个 限 购 城市 当中
-BAC009S0002W0129 四十一 个 已 正式 取消 或 变相 放松 了 限 购
-BAC009S0002W0130 财政 金融 政策 紧随 其后 而来
-BAC009S0002W0131 显示 出 了 极 强 的 威力
-
-==> data/local/lm/text.no_oov <==
-<SPOKEN_NOISE> 而 对 楼市 成交 抑制 作用 最 大 的 限 购 
-<SPOKEN_NOISE> 也 成为 地方 政府 的 眼中 钉 
-<SPOKEN_NOISE> 自 六月 底 呼和浩特 市 率先 宣布 取消 限 购 后 
-<SPOKEN_NOISE> 各地 政府 便 纷纷 跟进 
-<SPOKEN_NOISE> 仅 一 个 多 月 的 时间 里 
-<SPOKEN_NOISE> 除了 北京 上海 广州 深圳 四 个 一 线 城市 和 三亚 之外 
-<SPOKEN_NOISE> 四十六 个 限 购 城市 当中 
-<SPOKEN_NOISE> 四十一 个 已 正式 取消 或 变相 放松 了 限 购 
-<SPOKEN_NOISE> 财政 ���融 政策 紧随 其后 而来 
-<SPOKEN_NOISE> 显示 出 了 极 强 的 威力 
-
-==> data/local/lm/train <==
-汉莎 不 得 不 通过 这样 的 方式 寻求 新 的 发展 点
-并 计划 朝云 计算 方面 发展
-汉莎 的 基础 设施 部门 拥有 一千四百 名 员工
-媒体 就 曾 披露 这笔 交易
-虽然 双方 已经 正式 签署 了 外包 协议
-但是 这笔 交易 还 需要 得到 反 垄断 部门 的 批准
-陈 黎明 一九八九 年 获得 美国 康乃尔 大学 硕士 学位
-并 于 二零零三 年 顺利 完成 美国 哈佛 商学 院 高级 管理 课程
-曾 在 多家 国际 公司 任职
-拥有 业务 开发 商务 及 企业 治理
-
-==> data/local/lm/unigram.counts <==
-  57487 的
-  13099 在
-  11862 一
-  11397 了
-  10998 不
-   9913 是
-   7952 有
-   6250 和
-   6152 个
-   5422 将
-
-==> data/local/lm/word.counts <==
-  57486 的
-  13098 在
-  11861 一
-  11396 了
-  10997 不
-   9912 是
-   7951 有
-   6249 和
-   6151 个
-   5421 将
-
-==> data/local/lm/wordlist <==
-的
-在
-一
-了
-不
-是
-有
-和
-个
-将
-```
-
-## Output
-
-```
-fstaddselfloops 'echo 4234 |' 'echo 123660 |' 
-Lexicon and Token FSTs compiling succeeded
-arpa2fst --read-symbol-table=data/lang_test/words.txt --keep-symbols=true - 
-LOG (arpa2fst[5.5.0~1-5a37]:Read():arpa-file-parser.cc:94) Reading \data\ section.
-LOG (arpa2fst[5.5.0~1-5a37]:Read():arpa-file-parser.cc:149) Reading \1-grams: section.
-LOG (arpa2fst[5.5.0~1-5a37]:Read():arpa-file-parser.cc:149) Reading \2-grams: section.
-LOG (arpa2fst[5.5.0~1-5a37]:Read():arpa-file-parser.cc:149) Reading \3-grams: section.
-Checking how stochastic G is (the first of these numbers should be small):
-fstisstochastic data/lang_test/G.fst 
-0 -1.14386
-fsttablecompose data/lang_test/L.fst data/lang_test/G.fst 
-fstminimizeencoded 
-fstdeterminizestar --use-log=true 
-fsttablecompose data/lang_test/T.fst data/lang_test/LG.fst 
-Composing decoding graph TLG.fst succeeded
-Aishell build TLG done.
-```
-
-```
-data/
-├── lang_test
-│   ├── G.fst
-│   ├── L.fst
-│   ├── LG.fst
-│   ├── T.fst
-│   ├── TLG.fst
-│   ├── tokens.txt
-│   ├── units.txt
-│   └── words.txt
-└── local
-    ├── lang
-    │   ├── L.fst
-    │   ├── T.fst
-    │   ├── tokens.txt
-    │   ├── units.txt
-    │   └── words.txt
-    └── tmp
-        ├── disambig.list
-        ├── lexiconp_disambig.txt
-        ├── lexiconp.txt
-        └── units.list
-```
diff --git a/speechx/examples/wfst/path.sh b/speechx/examples/wfst/path.sh
deleted file mode 100644
index a07c1297d..000000000
--- a/speechx/examples/wfst/path.sh
+++ /dev/null
@@ -1,19 +0,0 @@
-# This contains the locations of binarys build required for running the examples.
-
-MAIN_ROOT=`realpath $PWD/../../../`
-SPEECHX_ROOT=`realpath $MAIN_ROOT/speechx`
-
-export LC_AL=C
-
-# srilm
-export LIBLBFGS=${MAIN_ROOT}/tools/liblbfgs-1.10
-export LD_LIBRARY_PATH=${LD_LIBRARY_PATH:-}:${LIBLBFGS}/lib/.libs
-export SRILM=${MAIN_ROOT}/tools/srilm
-export PATH=${PATH}:${SRILM}/bin:${SRILM}/bin/i686-m64
-
-# Kaldi
-export KALDI_ROOT=${MAIN_ROOT}/tools/kaldi
-[ -f $KALDI_ROOT/tools/env.sh ] && . $KALDI_ROOT/tools/env.sh
-export PATH=$PWD/utils/:$KALDI_ROOT/tools/openfst/bin:$PWD:$PATH
-[ ! -f $KALDI_ROOT/tools/config/common_path.sh ] && echo >&2 "The standard file $KALDI_ROOT/tools/config/common_path.sh is not present, can not using Kaldi!"
-[ -f $KALDI_ROOT/tools/config/common_path.sh ] && . $KALDI_ROOT/tools/config/common_path.sh
diff --git a/speechx/examples/wfst/run.sh b/speechx/examples/wfst/run.sh
deleted file mode 100755
index 1354646af..000000000
--- a/speechx/examples/wfst/run.sh
+++ /dev/null
@@ -1,29 +0,0 @@
-#!/bin/bash
-set -eo pipefail
-
-. path.sh
-
-stage=-1
-stop_stage=100
-
-. utils/parse_options.sh
-
-if ! which fstprint ; then
-    pushd $MAIN_ROOT/tools
-    make kaldi.done
-    popd
-fi
-
-if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then 
-    # build T & L
-    # utils/fst/compile_lexicon_token_fst.sh <dict-src-dir> <tmp-dir> <lang-dir>
-    utils/fst/compile_lexicon_token_fst.sh \
-        data/local/dict data/local/tmp data/local/lang
-
-    # build G & LG & TLG
-    # utils/fst/make_tlg.sh <lm_dir> <src_lang> <tgt_lang>
-    utils/fst/make_tlg.sh data/local/lm data/local/lang data/lang_test || exit 1;
-fi
-
-echo "build TLG done."
-exit 0
diff --git a/speechx/examples/wfst/utils b/speechx/examples/wfst/utils
deleted file mode 120000
index 256f914ab..000000000
--- a/speechx/examples/wfst/utils
+++ /dev/null
@@ -1 +0,0 @@
-../../../utils/
\ No newline at end of file
diff --git a/utils/text_to_lexicon.py b/utils/text_to_lexicon.py
new file mode 100755
index 000000000..ba5ab60ac
--- /dev/null
+++ b/utils/text_to_lexicon.py
@@ -0,0 +1,37 @@
+#!/usr/bin/env python3
+import argparse
+from collections import Counter
+
+
+def main(args):
+    counter = Counter()
+    with open(args.text, 'r') as fin, open(args.lexicon, 'w') as fout:
+        for line in fin:
+            line = line.strip()
+            if args.has_key:
+                utt, text = line.split(maxsplit=1)
+                words = text.split()
+            else:
+                words = line.split()
+
+            counter.update(words)
+
+        for word in counter:
+            val = " ".join(list(word))
+            fout.write(f"{word}\t{val}\n")
+            fout.flush()
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(
+        description='text(line:utt1 中国 人) to lexicon（line:中国 中 国).')
+    parser.add_argument(
+        '--has_key', default=True, help='text path, with utt or not')
+    parser.add_argument(
+        '--text', required=True, help='text path. line: utt1 中国 人 or 中国 人')
+    parser.add_argument(
+        '--lexicon', required=True, help='lexicon path. line:中国 中 国')
+    args = parser.parse_args()
+    print(args)
+
+    main(args)