fbank-dnn.py 文件源码

def load_data_train(trainfile):
        print "Getting the training data"
        a=htk.open(trainfile)
        train_data=a.getall()
        print "Done with Loading the training data: ",train_data.shape
        data=filter_data_train(train_data)
        # x_train=cnn_reshaper(data[:,:-2]) #Set to different column based on different model
        x_train=data[:,:-2] #Set to different column based on different model
        scaler=StandardScaler().fit(x_train)
        # x_train=scaler.transform(x_train)
        Y_train=data[:,-2]
        print Y_train.shape
        # print np.where(Y_train==2)
        Y_train=Y_train.reshape(Y_train.shape[0],1)
        y_train=np_utils.to_categorical(Y_train,2)
        print y_train[0:5,:]
        gender_train=data[:,-1]
        del data
        return x_train,y_train,gender_train,scaler