diff --git a/examples/tal_cs/asr1/README.md b/examples/tal_cs/asr1/README.md
index 83a27ac1e..176925190 100644
--- a/examples/tal_cs/asr1/README.md
+++ b/examples/tal_cs/asr1/README.md
@@ -27,7 +27,6 @@ The document below will describe the scripts in `run.sh` in detail.
 The path.sh contains the environment variables. 
 ```bash
 . ./path.sh
-. ./cmd.sh
 ```
 This script needs to be run first. And another script is also needed:
 ```bash
@@ -67,7 +66,6 @@ bash run.sh --stage 0 --stop_stage 0
 You can also just run these scripts in your command line.
 ```bash
 . ./path.sh
-. ./cmd.sh
 bash ./local/data.sh
 ```
 After processing the data, the `data` directory will look like this:
@@ -103,7 +101,6 @@ bash run.sh --stage 0 --stop_stage 1
 or you can run these scripts in the command line (only use CPU).
 ```bash
 . ./path.sh
-. ./cmd.sh
 bash ./local/data.sh
 CUDA_VISIBLE_DEVICES= ./local/train.sh conf/conformer.yaml conformer
 ```
@@ -124,7 +121,6 @@ or you can run these scripts in the command line (only use CPU).
 
 ```bash
 . ./path.sh
-. ./cmd.sh
 bash ./local/data.sh
 CUDA_VISIBLE_DEVICES= ./local/train.sh conf/conformer.yaml conformer
 avg.sh best exp/conformer/checkpoints 10
@@ -144,11 +140,10 @@ bash run.sh --stage 0 --stop_stage 3
 or you can run these scripts in the command line (only use CPU).
 ```bash
 . ./path.sh
-. ./cmd.sh
 bash ./local/data.sh
 CUDA_VISIBLE_DEVICES= ./local/train.sh conf/conformer.yaml conformer
 avg.sh best exp/conformer/checkpoints 10
-CUDA_VISIBLE_DEVICES= ./local/test.sh conf/conformer.yaml exp/conformer/checkpoints/avg_10
+CUDA_VISIBLE_DEVICES= ./local/test.sh conf/conformer.yaml conf/tuning/decode.yaml exp/conformer/checkpoints/avg_10
 ```
 ## Pretrained Model
 You can get the pretrained transformer or conformer from [this](../../../docs/source/released_model.md).
@@ -163,7 +158,7 @@ source path.sh
 # If you have process the data and get the manifest file， you can skip the following 2 steps
 bash local/data.sh --stage -1 --stop_stage -1
 bash local/data.sh --stage 2 --stop_stage 2
-CUDA_VISIBLE_DEVICES= ./local/test.sh conf/conformer.yaml exp/conformer/checkpoints/avg_10
+CUDA_VISIBLE_DEVICES= ./local/test.sh conf/conformer.yaml conf/tuning/decode.yaml exp/conformer/checkpoints/avg_10
 ```
 The performance of the released models are shown in [here](./RESULTS.md).
 
@@ -186,5 +181,5 @@ wget -nc https://paddlespeech.bj.bcebos.com/datasets/single_wav/zh/demo_01_03.wa
 ```
 You need to prepare an audio file or use the audio demo above, please confirm the sample rate of the audio is 16K. You can get the result of the audio demo by running the script below.
 ```bash
-CUDA_VISIBLE_DEVICES= ./local/test_wav.sh conf/conformer.yaml exp/conformer/checkpoints/avg_10 data/demo_01_03.wav
+CUDA_VISIBLE_DEVICES= ./local/test_wav.sh conf/conformer.yaml conf/tuning/decode.yaml exp/conformer/checkpoints/avg_10 data/demo_01_03.wav
 ```