update files

Author: zhodj

arc_design_contest/2021/HLJU_Pathological_Voice_Diagnosis/README.md

@@ -1,6 +1,8 @@
 # Pathological Voice Diagnosis
 
 * [Introduction](#introduction)
+
+	* [Actual Picture](#actual-picture)
 	* [Function](#function)
 	* [System Architecture](#system-architecture)
 * [Hardware and Software Setup](#hardware-and-software-setup)
@@ -14,6 +16,12 @@
 ## Introduction
 This application is based on the ARC IoT Development Kit which work for Pathological speech diagnosis at the edge.Firstly, the diagnostic model of pathological speech classification was trained based on lightweight RBK-NET network, and then the model was deployed using TensorFlow Lite for Microcontrollers (TFLM). Finally, the model was imported into ARC IoTDK development board through OSP.To achieve the Pathological speech diagnosis detection at the edge.
 
+DEMO VIDEO:[Video presentation](https://v.youku.com/v_show/id_XNTE5MjY4NTIzNg==.html)
+
+### Actual Picture
+
+![actual_picture](https://github.com/zhodj/embarc_applications/blob/master/arc_design_contest/2021/HLJU_Pathological_Voice_Diagnosis/images/actual_picture.jpeg)
+
 ### Function
 
 - Pathological Voice Diagnosis。At present, healthy and pathological speech can be recognized
@@ -42,7 +50,7 @@ This application is based on the ARC IoT Development Kit which work for Patholog
 - DesignWare ARC MetaWare Development Toolkit
 - TensorFlow Lite for Microcontrollers 
 - emcARC OSP 
-- Serial port terminal, such as putty, tera-term or minicom
+- Serial port terminal, such as putty, minicom or cutecom
 
 ### Hardware Connection
 
@@ -60,12 +68,18 @@ This application is based on the ARC IoT Development Kit which work for Patholog
 |SCL              |I2C0_SCL     |
 |SDA              |I2C0_SDA     |
 
+4.I2C series connection.
+
+![I2C Series Connection](https://github.com/zhodj/embarc_applications/blob/master/arc_design_contest/2021/HLJU_Pathological_Voice_Diagnosis/images/i2c_series_connection.png)
+
+
 ## User Manual
 
 ### Before Running This Application
 - Download source code of Pathological Voice Diagnosis from github.
 - Make sure all the connections are correct.
 - The link script file has been modified to ensure the heap and stack are large enough and the addresses of program sections have also been redirected.Make sure the link script is correct.
+- Use MWDT compiler tool to compile source code, with some Tensorflow Lite source code and the RBK-NET network model 
 
 ### Run This Application
 
@@ -84,7 +98,7 @@ This application is based on the ARC IoT Development Kit which work for Patholog
 
 		BOARD = iotdk
 		BD_VER = 10
-		TOOLCHAIN = gnu
+		TOOLCHAIN = mw
 
 - The middleware used in your application:
 
@@ -96,11 +110,10 @@ See [ embARC Example User Guide][40], **"Options to Hard-Code in the Application
 
 |  file               |            Function                      |
 | ------------------- | -----------------------------------------|
-|  main.c             |  Initialization and main loop            |
-|  CppAddWrapper.h    |  TensorFlow Lite Wrapper header          |
-|  mfcc.c/mfcc.h      |  Algorithm of extracting mfcc features   |
-|  codec.c/codec.h    |  Recive and store audio frames(interrupt)|
-|  FFT.c/FFT.h        |  Fast Fourier transform                  |
+|  main.cc             |  Initialization and main loop            |
+|  mfcc.cc/mfcc.h      |  Algorithm of extracting mfcc features   |
+|  codec.cc/codec.h    |  Recive and store audio frames(interrupt)|
+|  FFT.cc/FFT.h        |  Fast Fourier transform                  |
 |  wm8978.c/wm8978.h  |  Config wm8978 through I2C               |
 |  wm8978i2s.c/.h     |  I2S driver                              |