From 118e195004ef41f07a26018fff87ee79acea9d31 Mon Sep 17 00:00:00 2001
From: Mingshuang Luo <37799481+luomingshuang@users.noreply.github.com>
Date: Mon, 11 Apr 2022 22:19:26 +0800
Subject: [PATCH] Update results for tedlium3 pruned RNN-T (#307)

* Update README.md
---
 README.md                   | 2 +-
 egs/tedlium3/ASR/RESULTS.md | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 5f7f7c7dd..6adba4955 100644
--- a/README.md
+++ b/README.md
@@ -176,7 +176,7 @@ The best WER using modified beam search with beam size 4 is:
 
 |     |  dev  |  test  |
 |-----|-------|--------|
-| WER |  6.72 |  6.12  |
+| WER |  6.77 |  6.14  |
 
 We provide a Colab notebook to run a pre-trained Pruned Transducer Stateless model: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1je_1zGrOkGVVd4WLzgkXRHxl-I27yWtz?usp=sharing)
 
diff --git a/egs/tedlium3/ASR/RESULTS.md b/egs/tedlium3/ASR/RESULTS.md
index beeeb047b..511b19f73 100644
--- a/egs/tedlium3/ASR/RESULTS.md
+++ b/egs/tedlium3/ASR/RESULTS.md
@@ -12,7 +12,7 @@ The WERs are
 |------------------------------------|------------|------------|------------------------------------------|
 |          greedy search             | 7.27       | 6.69       | --epoch 29, --avg 13, --max-duration 100 |
 |      beam search (beam size 4)     | 6.70       | 6.04       | --epoch 29, --avg 13, --max-duration 100 |
-| modified beam search (beam size 4) | 6.77       | 6.12       | --epoch 29, --avg 13, --max-duration 100 |
+| modified beam search (beam size 4) | 6.77       | 6.14       | --epoch 29, --avg 13, --max-duration 100 |
 | fast beam search (set as default)  | 7.14       | 6.50       | --epoch 29, --avg 13, --max-duration 1500|
 
 The training command for reproducing is given below: