diff --git a/demos/README.md b/demos/README.md
index 8abd67249d7ad939db6d79d7b8160b8efa7cb8ba..2a306df6b1e1b3648b7306506adc01d5e0ffcdf2 100644
--- a/demos/README.md
+++ b/demos/README.md
@@ -2,14 +2,14 @@
 
 ([简体中文](./README_cn.md)|English)
 
-The directory containes many speech applications in multi scenarios.
+This directory contains many speech applications in multiple scenarios.
 
 * audio searching - mass audio similarity retrieval
 * audio tagging - multi-label tagging of an audio file
-* automatic_video_subtitiles - generate subtitles from a video
+* automatic_video_subtitles - generate subtitles from a video
 * metaverse - 2D AR with TTS  
 * punctuation_restoration - restore punctuation from raw text
-* speech recogintion - recognize text of an audio file 
+* speech recognition - recognize text of an audio file 
 * speech server - Server for Speech Task, e.g. ASR,TTS,CLS
 * streaming asr server - receive audio stream from websocket, and recognize to transcript.
 * speech translation - end to end speech translation  
diff --git a/speechx/README.md b/speechx/README.md
index f75d8ac4eb42c4ca257279763006bd3fc61dee42..cd1cd62c154c28e007d5b20c8db77fa712f1e071 100644
--- a/speechx/README.md
+++ b/speechx/README.md
@@ -44,13 +44,13 @@ More details please see `README.md` under `examples`.
 > If using docker please check `--privileged` is set when `docker run`.
 
 * Fatal error at startup: `a function redirection which is mandatory for this platform-tool combination cannot be set up`
-```
+```bash
 apt-get install libc6-dbg
 ```
 
 * Install
 
-```
+```bash
 pushd tools
 ./setup_valgrind.sh
 popd
@@ -59,4 +59,4 @@ popd
 ## TODO
 
 ### Deepspeech2 with linear feature
-* DecibelNormalizer: there is a little bit difference between offline and online db norm. The computation of online db norm read feature chunk by chunk, which causes the feature size is different with offline db norm. In normalizer.cc:73, the samples.size() is different, which causes the difference of result.
+* DecibelNormalizer: there is a small difference between the offline and online db norm. The computation of online db norm reads features chunk by chunk, which causes the feature size to be different different with offline db norm. In `normalizer.cc:73`, the `samples.size()` is different, which causes the different result.
diff --git a/third_party/README.md b/third_party/README.md
index c73df5427b08fdfd12bbb7e779afd41b058f7780..843d0d3b2e69a573195c669ac0bbee8f52558960 100644
--- a/third_party/README.md
+++ b/third_party/README.md
@@ -1,27 +1,27 @@
 * [python_kaldi_features](https://github.com/ZitengWang/python_kaldi_features)  
 commit: fc1bd6240c2008412ab64dc25045cd872f5e126c  
 ref: https://zhuanlan.zhihu.com/p/55371926  
-licence: MIT
+license: MIT
 
 * [python-pinyin](https://github.com/mozillazg/python-pinyin.git)
 commit: 55e524aa1b7b8eec3d15c5306043c6cdd5938b03
-licence: MIT
+license: MIT
 
 * [zhon](https://github.com/tsroten/zhon)
 commit: 09bf543696277f71de502506984661a60d24494c
-licence: MIT
+license: MIT
 
 * [pymmseg-cpp](https://github.com/pluskid/pymmseg-cpp.git)
 commit: b76465045717fbb4f118c4fbdd24ce93bab10a6d
-licence: MIT
+license: MIT
 
 * [chinese_text_normalization](https://github.com/speechio/chinese_text_normalization.git)
 commit: 9e92c7bf2d6b5a7974305406d8e240045beac51c
-licence: MIT
+license: MIT
 
 * [phkit](https://github.com/KuangDD/phkit.git)
 commit: b2100293c1e36da531d7f30bd52c9b955a649522
-licence: None
+license: None
 
 * [nnAudio](https://github.com/KinWaiCheuk/nnAudio.git)
-licence: MIT
+license: MIT
diff --git a/third_party/ctc_decoders/LICENSE b/third_party/ctc_decoders/LICENSE
index eeef74b3099776f6afa02dd3fe0ca7f304138248..ad947f8d75624fa3862c37db49a6f249bc11dafb 100644
--- a/third_party/ctc_decoders/LICENSE
+++ b/third_party/ctc_decoders/LICENSE
@@ -5,4 +5,4 @@ score.h and score.cpp is under the LGPL license.
 The two files include the header files from KenLM project.
 
 For the rest:
-The default licence of paddlespeech-ctcdecoders is Apache License 2.0.
+The default license of paddlespeech-ctcdecoders is Apache License 2.0.