From d983f8d8b3f66d24be0b3028a68dd46d6aa3cbd5 Mon Sep 17 00:00:00 2001
From: Jackwaterveg <87408988+Jackwaterveg@users.noreply.github.com>
Date: Tue, 7 Sep 2021 17:15:36 +0800
Subject: [PATCH] Create modle_arcitecture.md

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+# Model Arcitecture
+
+ The implemented arcitecure of Deepspeech2 online model is based on [Deepspeech2 model](https://arxiv.org/pdf/1512.02595.pdf) with some changes. 
+ The figure of arcitecture is shown in ![image](../image/ds2onlineModel.png).
+ The model is mainly composed of 2D convolution subsampling layer and single direction rnn layers. To illustrate the model implementation in detail, 5 parts is introduced.  
+     1. Feature Extraction.
+     2. 2D Convolution subsampling layer.
+     3. RNN layer with only forward direction.
+     4. Softmax Layer.
+     5. CTC Decoder.
+
+
+ # Feature Extraction
+
+ Three methods of feature extraction is implemented, which are linear, fbank and mfcc.
+ For a single utterance $x^i$ sampled from the training set $S$,
+ $ S= {(x^1,y^1),(x^2,y^2),...,(x^m,y^m)}$, where $y^i$ is the label correspodding to the ${x^i}