Vsameter:评估一个新的开源工具来测量元音空间面积和相关指标

Tianyu Cao, L. Moro-Velázquez, Piotr Żelasko, J. Villalba, N. Dehak
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摘要

元音空间面积(VSA)是研究语音产生缺陷和可理解性的有效指标。先前的研究表明,VSA占可理解性方差的近50%,是全球可理解性估计的重要组成部分。然而,几乎没有研究发布一种工具来使用公开可用的代码自动估计VSA。在本文中,我们提出了一个名为VSAmeter的开源工具,用于自动测量VSA和元音发音指数(VAI),并使用从人工注释的共振子和电话段数据集中获得的VSA和VAI进行验证。结果表明,该方法获得的VSA和VAI值与人工提取F1和F2及对齐生成的值具有较强的相关性。这种方法可用于语音应用,例如,自动测量VAI以评估患有构音障碍的说话者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vsameter: Evaluation of a New Open-Source Tool to Measure Vowel Space Area and Related Metrics
Vowel space area (VSA) is an applicable metric for studying speech production deficits and intelligibility. Previous works suggest that the VSA accounts for almost 50% of the intelligibility variance, being an essential component of global intelligibility estimates. However, almost no study publishes a tool to estimate VSA automatically with publicly available codes. In this paper, we propose an open-source tool called VSAmeter to measure VSA and vowel articulation index (VAI) automatically and validate it with the VSA and VAI obtained from a dataset in which the formants and phone segments have been annotated manually. The results show that VSA and VAI values obtained by our proposed method strongly correlate with those generated by manually extracted F1 and F2 and alignments. Such a method can be utilized in speech applications, e.g., the automatic measurement of VAI for the evaluation of speakers with dysarthria.
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