论文标题
语音预选赛的声学相关性：调查
Acoustic Correlates of the Voice Qualifiers: A Survey
论文作者
论文摘要
我们的声音与我们的脸和指纹一样独特。有一系列的非障碍性状使我们的声音独特而可识别，例如基本频率，强度，最有趣的是语音的质量。语音质量是指个人声音的特征。从不时地证明，先前的研究在做出不同的副语言推论方面已经证明了语音质量的普遍性。这些推论范围从确定人格特征到健康状况及以后。在本手稿中，我们首先根据先前的研究和文献将副语言语音预选赛映射到其声学相关性。我们还可以确定可能使用的开放量相关性来测量这些相关性。在第二部分中，我们提供了一组示例副语言推论，可以使用不同的声学和知觉语音质量特征进行。
Our voices are as distinctive as our faces and fingerprints. There is a spectrum of non-disjoint traits that make our voices unique and identifiable, such as the fundamental frequency, the intensity, and most interestingly the quality of the speech. Voice quality refers to the characteristic features of an individual's voice. Previous research has from time-to-time proven the ubiquity of voice quality in making different paralinguistic inferences. These inferences range from identifying personality traits, to health conditions and beyond. In this manuscript, we first map the paralinguistic voice qualifiers to their acoustic correlates in the light of the previous research and literature. We also determine the openSMILE correlates one could possibly use to measure those correlates. In the second part, we give a set of example paralinguistic inferences that can be made using different acoustic and perceptual voice quality features.
