From 03c445392d0b5a22d1ac6f95997058fff0fb1e3e Mon Sep 17 00:00:00 2001
From: Jackwaterveg <87408988+Jackwaterveg@users.noreply.github.com>
Date: Thu, 9 Sep 2021 18:58:10 +0800
Subject: [PATCH] Update deepspeech_architecture.md

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 doc/src/deepspeech_architecture.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/src/deepspeech_architecture.md b/doc/src/deepspeech_architecture.md
index 8b281ff82..dfa60790f 100644
--- a/doc/src/deepspeech_architecture.md
+++ b/doc/src/deepspeech_architecture.md
@@ -151,7 +151,7 @@ fi
 After the training process, we use stage 3,4,5 for testing process. The stage 3 is for testing the model generated in the stage 2 and provided the CER index of the test set. The stage 4 is for transforming the model from dynamic graph to static graph by using "paddle.jit" library. The stage 5 is for testing the model in static graph.
 
  
-## No Streaming
+## Non-Streaming
 The deepspeech2 offline model is similarity to the deepspeech2 online model. The main difference between them is the offline model use the bi-directional rnn layers while the online model use the single direction rnn layers and the fc layer is not used.
 
 The arcitecture of the model is shown in Fig.2.