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H I D D E N M A R K O V M O D E L for automatic speech recognition 7/30/95 This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training a

H I D D E N M A R K O V M O D E L for automatic speech recognition 7/30/95 This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training a

H I D D E N M A R K O V M O D E L for automatic speech recognition 7/30/95 This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training a

程序代码说明 P0801：索书号文字图像分割 P0802：粘连字符切分 P0803：文字识别 P0804：彩色车牌分割 P0805：商标文字分割 Recognition：文字识别的识别子函数 StrDetect01：文字识别的结构特征提取子函数

function [Numeral]=Recognition(StrokeTop,StrokeLeft,StrokeRight,StrokeBottom,Comp) % 采用四边的轮廓结构特征和笔划统计（仅针对 0 和 8）识别残缺数字 % Comp 是用于识别 0和8 的底部补充信息 StrT='T'; StrL='T'; StrR='T'; StrB='T'; RStr='T';

H I D D E N M A R K O V M O D E L for automatic speech recognition 7/30/95 This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training a

#include "ag_private.h" #include "ag.h" /* agVoiceRecognitionEnable A voice recognition enable/ disable command has been received at the AG so pass it on. */ void agVoiceRecognitionEna

Embedded Speech Developers Kit using Labx86 SBC for Windows CE 5.0 Embedded Windows CE SAPI 5.0 Developers Kit is your complete Embedded Speech Recognition or Speech To Text Circuit Solution for

[SCC] SCC=This is a source code control file [Text Recognition.vbp] SCC_Project_Name=this project is not under source code control SCC_Aux_Path=

Type=Exe Reference=*\G{00020430-0000-0000-C000-000000000046}#2.0#0#C:\WINDOWS\system32\stdole2.tlb#OLE Automation Object={F9043C88-F6F2-101A-A3C9-08002B2F49FB}#1.2#0; COMDLG32.OCX Object={831FDD16-