Department of Speech, Language, and Hearing Sciences, The University of Texas at El Paso, El Paso, Texas 79968, USA.
Department of Speech, Language and Hearing Sciences, Indiana University, Bloomington, Indiana 47408, USA.
J Acoust Soc Am. 2024 Feb 1;155(2):1422-1436. doi: 10.1121/10.0024521.
Auditory attribution of speaker gender has historically been assumed to operate within a binary framework. The prevalence of gender diversity and its associated sociophonetic variability motivates an examination of how listeners perceptually represent these diverse voices. Utterances from 30 transgender (1 agender individual, 15 non-binary individuals, 7 transgender men, and 7 transgender women) and 30 cisgender (15 men and 15 women) speakers were used in an auditory free classification paradigm, in which cisgender listeners classified the speakers on perceived general similarity and gender identity. Multidimensional scaling of listeners' classifications revealed two-dimensional solutions as the best fit for general similarity classifications. The first dimension was interpreted as masculinity/femininity, where listeners organized speakers from high to low fundamental frequency and first formant frequency. The second was interpreted as gender prototypicality, where listeners separated speakers with fundamental frequency and first formant frequency at upper and lower extreme values from more intermediate values. Listeners' classifications for gender identity collapsed into a one-dimensional space interpreted as masculinity/femininity. Results suggest that listeners engage in fine-grained analysis of speaker gender that cannot be adequately captured by a gender dichotomy. Further, varying terminology used in instructions may bias listeners' gender judgements.
听觉归因于说话者的性别历来被认为是在一个二元框架内运作。性别多样性的普遍存在及其相关的社会语音变异性促使人们研究听众如何感知这些不同的声音。在一个听觉自由分类范式中使用了 30 名跨性别者(1 名无性别个体、15 名非二元性别个体、7 名跨性别男性和 7 名跨性别女性)和 30 名顺性别者(15 名男性和 15 名女性)的话语,顺性别听众根据感知的总体相似性和性别认同对说话者进行分类。听众分类的多维标度显示,二维解是总体相似性分类的最佳拟合。第一个维度被解释为男性化/女性化,听众根据基频和第一共振峰频率从高到低组织说话者。第二个维度被解释为性别原型性,听众将基频和第一共振峰频率处于上下极值的说话者与处于中间值的说话者分开。听众对性别认同的分类归结为一个一维空间,被解释为男性化/女性化。结果表明,听众对说话者性别进行了精细的分析,而这种分析不能用性别二分法来充分捕捉。此外,指令中使用的不同术语可能会使听众的性别判断产生偏差。