Department of Linguistics, University of Oregon, Eugene, Oregon 97403, USA.
Department of Linguistics, University of British Columbia, Vancouver, British Columbia, Canada.
J Acoust Soc Am. 2018 Oct;144(4):2447. doi: 10.1121/1.5064783.
A noninvasive method for accurately measuring anticipatory coarticulation at experimentally defined temporal locations is introduced. The method leverages work in audiovisual (AV) speech perception to provide a synthetic and robust measure that can be used to inform psycholinguistic theory. In this validation study, speakers were audio-video recorded while producing simple subject-verb-object sentences with contrasting object noun rhymes. Coarticulatory resistance of target noun onsets was manipulated as was metrical context for the determiner that modified the noun. Individual sentences were then gated from the verb to sentence end at segmental landmarks. These stimuli were presented to perceivers who were tasked with guessing the sentence-final rhyme. An audio-only condition was included to estimate the contribution of visual information to perceivers' performance. Findings were that perceivers accurately identified rhymes earlier in the AV condition than in the audio-only condition (i.e., at determiner onset vs determiner vowel). Effects of coarticulatory resistance and metrical context were similar across conditions and consistent with previous work on coarticulation. These findings were further validated with acoustic measurement of the determiner vowel and a cumulative video-based measure of perioral movement. Overall, gated AV speech perception can be used to test specific hypotheses regarding coarticulatory scope and strength in running speech.
本文介绍了一种可在实验定义的时间位置上准确测量预备协同发音的非侵入性方法。该方法利用视听(AV)语音感知方面的工作,提供了一种综合且稳健的度量标准,可用于为心理语言学理论提供信息。在这项验证研究中,要求说话者在说出带有对比对象名词押韵的简单主谓宾句子时进行音频-视频录制。目标名词开头的协同发音阻力和修饰名词的限定词的韵律环境都被改变了。然后,将句子从动词到句尾的分段标记进行门控。这些刺激呈现给感知者,让他们猜测句末的押韵。还包括一个仅音频条件,以估计视觉信息对感知者表现的贡献。研究结果表明,感知者在视听条件下比在仅音频条件下更准确地识别出押韵(即在限定词开头与限定词元音)。协同发音阻力和韵律环境的影响在不同条件下相似,与协同发音的先前研究一致。这些发现还通过对限定词元音的声学测量和基于视频的口周运动的累积测量进行了验证。总的来说,门控式 AV 语音感知可用于测试关于连续言语中协同发音范围和强度的特定假设。