diff --git a/README.md b/README.md
index 24f0b3c3fd3269eb4c55f99dd26e947b5158c8ab..3010c0e536da732f1c4f042c82badaae21179f87 100644
--- a/README.md
+++ b/README.md
@@ -38,13 +38,13 @@ python datasets/librispeech/librispeech.py --help
 python compute_mean_std.py
 ```
 
-`python compute_mean_std.py` computes mean and stdandard deviation for audio features, and save them to a file with a default name `./mean_std.npz`. This file will be used in both training and inferencing. The default feature of audio data is power spectrum, currently the mfcc feature is also supported. To train and infer based on mfcc feature, you can regenerate this file by
+It will compute mean and stdandard deviation for audio features, and save them to a file with a default name `./mean_std.npz`. This file will be used in both training and inferencing. The default feature of audio data is power spectrum, and the mfcc feature is also supported. To train and infer based on mfcc feature, please generate this file by
 
 ```
 python compute_mean_std.py --specgram_type mfcc
 ```
 
-and specify the ```specgram_type``` to ```mfcc``` in each step, including training, inference etc.
+and specify ```--specgram_type mfcc``` when running train.py, infer.py, evaluator.py or tune.py.
 
 More help for arguments: