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机构地区:[1]西安建筑科技大学,西安710055
出 处:《计算机工程与应用》2014年第14期206-209,共4页Computer Engineering and Applications
基 金:国家自然科学基金(No.61073196);西安市工业应用技术研发项目(No.CXY1122);西安建筑科技大学重大科技成果创新基金(No.ZC1103)
摘 要:基音轨迹是语音评估中重要的参数,它的高低变化反映了语音的音高起伏和语调韵律特点。为了准确地评估一段语音,利用变长夹角链码(Alterable Included Angle Chain,AIAC)来准确提取说话者的基音轨迹,对比模仿者与标准发音的基音轨迹的相似度,研究基音轨迹相似度的匹配算法及曲线拟合算法,从而完成基音特征相似性的评估。结果表明:该方法不仅能够准确、快捷提取说话者的基音轨迹,而且计算过程简单,操作简便并能够取得良好的评估效果。The pitch fluctuation and intonation rhythm are reflected by the pitch track as an important parameter in the voice similarity. For characterizing pitch curve accurately, this paper optimized the pitch track which is extracted by AIAC (Alterable Included Angle Chain). Based on comparing the similarity of pitch curve between imitator and standard pro-nunciation, the method of extracting pitch curve and matching algorithm of similarity are discussed. And the assessment of pitch characteristics is completed. The results show that the method is simple in calculation process and the results are good.
关 键 词:基音轨迹 可变夹角链码(AIAC) 链码匹配 相似度
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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