Rao Dongmei, Shaw Jason, Dockum Rikker
School of Literature, Journalism, and Communication, Xihua University, Chengdu, Sichuan Province, China.
Department of Linguistics, Yale University, New Haven, CT, USA.
Data Brief. 2022 Mar 16;42:108062. doi: 10.1016/j.dib.2022.108062. eCollection 2022 Jun.
The data reported in this article are non-coronal fricative measurements from 10 (5 male; 5 female) native speakers of Zhongjiang Chinese. Each speaker produced 10 repetitions of 90 monosyllabic words beginning with either a velar fricative, /x/, or a labial-dental fricative, /f/. The measurements reported include spectral properties often used to characterize fricative variation, including: spectrum center of gravity (CoG), spectrum standard deviation (SD), spectrum skew, spectrum kurtosis, maximum amplitude frequency, and maximum amplitude. These measurements are compared across two data filtering conditions: a high pass filter condition, in which a 300Hz high pass filter was applied to the data before spectral measurements were calculated, and a no filter condition. The 90 monosyllabic words include the target fricatives in different phonetic environments. Target words include some that historically derive from different fricatives and show variation across regional varieties of Mandarin Chinese. Subsets of the target materials enable several closely matched comparisons of items. We describe measurements across the whole dataset, comparing as well the effect that filtering has on the measurements. The data also include a CSV file with measurements of each token, which enables comparison of phonetic contexts, lexical effects and individual differences in fricative variation beyond those described here. For further discussion of the data, please refer to the full length article entitled "The role of gestural timing in non-coronal fricative mergers in Southwestern Mandarin: acoustic evidence from a dialect island. " [6].
本文所报告的数据是对10名（5名男性；5名女性）中江话母语者的非冠状擦音测量结果。每位发音者对90个以软腭擦音/x/或唇齿擦音/f/开头的单音节词各重复发音10次。所报告的测量结果包括常用于描述擦音变化的频谱特性，包括：频谱重心（CoG）、频谱标准差（SD）、频谱偏度、频谱峰度、最大振幅频率和最大振幅。这些测量结果在两种数据滤波条件下进行比较：高通滤波条件，即在计算频谱测量之前对数据应用300Hz高通滤波器；以及无滤波条件。这90个单音节词包括处于不同语音环境中的目标擦音。目标词包括一些历史上源自不同擦音且在汉语普通话不同地区变体中存在差异的词。目标材料的子集能够对项目进行几次紧密匹配的比较。我们描述了整个数据集的测量结果，并比较了滤波对测量结果的影响。数据还包括一个CSV文件，其中包含每个音素的测量结果，这使得能够比较语音环境、词汇效应以及此处未描述的擦音变化中的个体差异。有关数据的进一步讨论，请参考题为《手势时机在西南官话非冠状擦音合并中的作用：来自方言岛的声学证据》的全文[6]。
