CAJ | 학술논문

为了更好地表征语音情感状态，将固有时间尺度分解（ITD）用于语音情感特征提取。从语音信号中得到前若干阶合理旋转（PR）分量，并提取PR分量的瞬时参数特征和关联维数，以此作为新的情感特征参数，结合传统特征使用支持向量机（SVM）进行语音情感识别实验。实验结果显示，引入PR特征参数后，与传统特征的方案相比，情感识别率有了明显提高。
위료경호지표정어음정감상태，장고유시간척도분해（ITD）용우어음정감특정제취。종어음신호중득도전약간계합리선전（PR）분량，병제취PR분량적순시삼수특정화관련유수，이차작위신적정감특정삼수，결합전통특정사용지지향량궤（SVM）진행어음정감식별실험。실험결과현시，인입PR특정삼수후，여전통특정적방안상비，정감식별솔유료명현제고。
In order to express speech emotional state better, this paper takes the Intrinsic Time-scale Decomposition (ITD)into extracting speech emotion features, decomposes the emotion speech into a sum of Proper Rotation(PR)com-ponents, extracts instantaneous characteristic parameters and correlation dimension as new emotional characteristic param-eters, combines with traditional features and uses Support Vector Machine(SVM)for speech emotional recognition. The results show that recognition accuracy is improved obviously through using PR features parameters.