%function?[predY]=speakingDetection（X）
s=load（‘training.data‘）;
[xy]=size（s）;
vec?=?zeros（61）;
xapp?=?[];
yapp?=?[];

i=1;j=1;
%數據初步處理
while?（i<=x）???
????vec（1）?=?s（i1）;
????vec（2）?=?s（i2）;
????vec（3）?=?s（i3）;
????vec（4）?=?s（i4）;
????vec（5）?=?s（i5）;
????vec（6）?=?s（i6）;
????xapp?=?[xappvec];
????yapp?=?[yapps（i7）];
????i=i+1;
end;

[NM]?=?size（xapp）;
p?=?randperm（M）;?%直接打亂了訓練樣本
numberOfSamplesForTraining?=?60000;??????%6000個數據訓練
xTraining?=?[];
yTraining?=?[];
for?i=1:numberOfSamplesForTraining
????xTraining??=?[xTrainingxapp（:p（i））];
????yTraining?=?[yTrainingyapp（p（i））];
end;
xTraining?=?xTraining‘;????%轉置
yTraining?=?yTraining‘;

xTesting?=?[];
yTesting?=?[];
for?i=numberOfSamplesForTraining+1:M
????xTesting??=?[xTestingxapp（:p（i））];
????yTesting?=?[yTestingyapp（p（i））];
end;
xTesting?=?xTesting‘;???
yTesting?=?yTesting‘;???


%%%%%%%%%%%%%%%%%%%%%%%%
%?%Normalization
%?[numVecnumDim]?=?size（xTraining）;
%?avgX?=?mean（xTraining）;
%?stdX?=?std（xTraining）;
%?for?i?=?1:numVec
%?????xTraining（i:）?=?（xTraining（i:）-avgX）./stdX;
%?end;
%?[numVecnumDim]?=?size（xTesting）;
%?
%?for?i?=?1:numVec
%?????xTesting（i:）?=?（xTesting（i:）-avgX）./stdX;
%?end;

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%SVM?Gaussian?kernel?
%Search?for?the?optimal?C?and?gamma?K（x1x2）?=?exp{-||x1-x2||^2/gamma}?to
%make?the?recognition?rate?maximum.?

%Firstly?search?C?and?gamma?in?a?crude?scale?（as?recommended?in?‘A?practical?Guide?to?Support?Vector?Classification‘））
CScale?=?[-5-3?-1?1?3?579111315];
gammaScale?=?[-15-13-11-9-7-5-3-113];

C?=?2.^CScale;
gamma?=?2.^gammaScale;
maxRecognitionRate?=?0;
for?i?=?1:length（C）
????for?j?=?1:length（gamma）
????????cmd=[‘-t?2?-c?‘num2str（C（i））‘?-g?‘num2str（gamma（j））‘?-v?10‘];??%轉化為字符高斯核五折交叉檢驗
????????recognitionRate?=?svmtrain（yTrainingxTrainingcmd）;
????????if?recognitionRate>maxRecognitionRate
????????????maxRecogn