CAJ | 학술논문

针对非特定人大词汇量连续语音识别，在均值方差归一化的基础上，提出了基于动态阈值的特征调整方法。动态阈值的选取方式包含阈值的动态范围确定和确定阈值的系数。动态阈值范围的确定依据如下两个数值，一个是样本特征点的均值，另一个是使得样本特征点等分的数值。然后再根据对特征点在样本特征点均值上下的比例关系得到系数，最后根据这个系数来确定一个具体的阈值，并基于此阈值对连续语音特征曲线进行调整。
침대비특정인대사회량련속어음식별，재균치방차귀일화적기출상，제출료기우동태역치적특정조정방법。동태역치적선취방식포함역치적동태범위학정화학정역치적계수。동태역치범위적학정의거여하량개수치，일개시양본특정점적균치，령일개시사득양본특정점등분적수치。연후재근거대특정점재양본특정점균치상하적비례관계득도계수，최후근거저개계수래학정일개구체적역치，병기우차역치대련속어음특정곡선진행조정。
The article focuses on the Speaker independent large vocabulary continuous speech recognition. On the funda-mental of MVN,the proposed speech feature adjustment method based on dynamic threshold. The selection of dynamic threshold includes how to find the range and the coefficient of dynamic threshold. Get the range of dynamic threshold is from the mean of feature vectors and the value, which separates the feature, vectors by an equal division method. Then, we can get the coefficient according to the proportion relationship around the mean of feature vectors. Finally, we compute the threshold by using the coefficient and use the threshold to adjust the continuous speech feature trajectory.