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首页> 外文期刊>The Journal of the Acoustical Society of America >Validity of rating scale measures of voice quality
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Validity of rating scale measures of voice quality

机译:语音质量评级量表的有效性

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摘要

The validity of perceptual measures of vocal quality has been neglected in studies of voice, which focus more commonly on rater reliability. Validity depends in part on reliability, because an unreliable test does not measure what it is intended to measure. However, traditional measures of rating reliability only partially represent interrater agreement, because they cannot reflect variations or patterns of agreement for specific voice samples. In this paper the likelihood that two raters would agree in their ratings of a single voice is examined, for each voice in five previously gathered data sets. Results do not support the continued assumption that traditional rating procedures produce useful indices of listeners' perception. Listeners agreed very poorly in the midrange of scales for breathiness and roughness, and mean ratings in the midrange of such scales did not represent the extent to which a voice possesses a quality, but served only to indicate that listeners disagreed. Techniques like analysis by synthesis or judgment of similarity avoid decomposing quality into constituent dimensions, and to not require a listener to compare an external stimulus to an unstable internal representation, thus decreasing the error in measures of quality. Modeling individual differences in perception can increase the variance accounted for in models of quality, further reducing the error in perceptual measures. Thus such techniques may provide valid alternatives to current approaches.
机译:在语音研究中,对声音质量的感知度量的有效性已被忽略,而语音研究则更侧重于评估者的可靠性。有效性部分取决于可靠性,因为不可靠的测试无法衡量要测量的内容。但是,传统的评定信度的度量标准仅部分表示相互间的一致,因为它们无法反映特定语音样本的一致变化或一致模式。在本文中,针对五个先前收集的数据集中的每个语音,研究了两个评估者同意对单个语音进行评分的可能性。结果不支持继续假设传统的评分程序会产生有用的听众感知指数。听众在呼吸和粗糙程度的中间音阶上非常差劲,这种音阶的中间音阶并不代表声音具有某种品质的程度,而只是表明听众不同意。诸如通过综合分析或相似性判断之类的技术可以避免将质量分解为组成维度,并且不需要收听者将外部刺激与不稳定的内部表示进行比较,从而减少了质量度量的误差。对个体感知差异进行建模可以增加质量模型中的差异,从而进一步减少感知度量中的误差。因此,这样的技术可以提供当前方法的有效替代。

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