test=doc

examples/aishell/asr1/README.md

@@ -143,25 +143,15 @@ avg.sh best exp/conformer/checkpoints 20
 CUDA_VISIBLE_DEVICES= ./local/test.sh conf/conformer.yaml exp/conformer/checkpoints/avg_20
 ```
 ## Pretrained Model
-You can get the pretrained transformer or conformer using the scripts below:
-
-```bash
-# Conformer:
-wget https://deepspeech.bj.bcebos.com/release2.1/aishell/s1/aishell.release.tar.gz
-
-# Chunk Conformer:
-wget https://deepspeech.bj.bcebos.com/release2.1/aishell/s1/aishell.chunk.release.tar.gz
-
-# Transformer:
-wget https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/transformer.model.tar.gz
+You can get the pretrained transformer or conformer from [this](../../../docs/source/released_model.md)
 
 ```
 using the `tar` scripts to unpack the model and then you can use the script to test the model.
 
 For example:
 ```
-wget https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/transformer.model.tar.gz
-tar xzvf transformer.model.tar.gz
+wget https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_transformer_aishell_ckpt_0.1.1.model.tar.gz
+tar xzvf asr1_transformer_aishell_ckpt_0.1.1.model.tar.gz
 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
@@ -206,7 +196,7 @@ In some situations, you want to use the trained model to do the inference for th
 ```
 you can train the model by yourself using ```bash run.sh --stage 0 --stop_stage 3```, or you can download the pretrained model through the script below:
 ```bash
-wget https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/transformer.model.tar.gz
+wget https://paddlespeech.bj.bcebos.com/s2t/aishell/asr1/asr1_transformer_aishell_ckpt_0.1.1.model.tar.gz
 tar xzvf transformer.model.tar.gz
 ```
 You can download the audio demo: