diff --git a/egs/librispeech/WSASR/README.md b/egs/librispeech/WSASR/README.md
index ea0eaa6d3..888105b3c 100644
--- a/egs/librispeech/WSASR/README.md
+++ b/egs/librispeech/WSASR/README.md
@@ -1,7 +1,7 @@
 # Introduction
 
 This is a weakly supervised ASR recipe for the LibriSpeech (clean 100 hours) dataset. We train a
-conformer model using Bypass Temporal Classification (BTC)/Omni-temporal Classification (OTC) with transcripts with synthetic errors. In this README, we will describe
+conformer model using [Bypass Temporal Classification](https://arxiv.org/pdf/2306.01031.pdf) (BTC)/Omni-temporal Classification (OTC) with transcripts with synthetic errors. In this README, we will describe
 the task and the BTC/OTC training process.
 
 Note that OTC is an extension of BTC and supports all BTC functions. Therefore, in the following, we only describe OTC.
@@ -124,13 +124,26 @@ The bypass arc deals with substitution and insertion errors, while the self-loop
 ### Decoding
 ```
 export CUDA_VISIBLE_DEVICES="0"
-python conformer_ctc2/decode.py \
+./conformer_ctc2/decode.py \
   --exp-dir "${exp_dir}" \
   --lang-dir "${otc_lang_dir}" \
   --lm-dir "${lm_dir}" \
   --otc-token "${otc_token}"
 ```
 
+### Results (ctc-greedy-search)
+| Traning Criterion | test-clean | test-other |
+|------------|:-------:|:----:|
+| CTC |100.0|100.0 |
+| OTC | 11.89 | 25.46 |
+
+### Results (1best, blank_bias=-4)
+| Traning Criterion | test-clean | test-other |
+|------------|:-------:|:----:|
+| CTC |98.40|98.68 |
+| OTC | 6.59 | 15.98 |
+
+
 ## Citations
 ```
 @article{gao2023bypass,