diff --git a/examples/aishell/asr1/README.md b/examples/aishell/asr1/README.md
index 2eea233da021b90de3b96c7089c80c23228279bb..3ee9fa5eb2d0bf72650a08850b0d4872bd0b14ac 100644
--- a/examples/aishell/asr1/README.md
+++ b/examples/aishell/asr1/README.md
@@ -65,7 +65,7 @@ Some local variables are set in ```run.sh```.
 
 ```avg_num``` denotes the number K of top-K models you want to average to get the final model.
 
-```audio file``` denotes the file path of the single file you want to infer in stage 6
+```audio_file``` denotes the file path of the single file you want to infer in stage 5
 
 ```ckpt``` denotes the checkpoint prefix of the model, e.g. "conformer"
 
@@ -333,9 +333,13 @@ you can train the model by yourself using ```bash run.sh --stage 0 --stop_stage
 wget https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/transformer.model.tar.gz
 tar xzvf transformer.model.tar.gz
 ```
+You can downloads the audio demo:
 
-You need to prepare an audio file, please confirm the sample rate of the audio is 16K. Assume the path of the audio file is ```data/test_audio.wav```, you can get the result by running the script below.
+```bash
+wget -nc https://paddlespeech.bj.bcebos.com/datasets/single_wav/zh/demo_01_03.wav -P data/
+```
+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 by running the script below.
 
 ```bash
-CUDA_VISIBLE_DEVICES= ./local/test_hub.sh conf/transformer.yaml exp/transformer/checkpoints/avg_20 data/test_audio.wav
+CUDA_VISIBLE_DEVICES= ./local/test_hub.sh conf/transformer.yaml exp/transformer/checkpoints/avg_20 data/demo_01_03.wav
 ```