Patterns of speech sounds after surgery: investigating infants' phonological development following full cleft palate restorative surgery.

手术后的语音模式：调查全腭裂修复手术后婴儿的语音发育。

• 批准号: 2599773
• 金额: --
• 依托单位: CARDIFF UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2599773
• 关键词: Patterns; speech; sounds; after; surgery

In the UK, 1 in every 700 babies are born with cleft lip and/or palate (NHS, 2020). Most infants with cleft palate (CP) receive full restorative surgery, but nevertheless will not necessarily go on to fully acquire target-like speech (Hardin-Jones, 2003, Kummer et al., 2012). Wren (2017) shows that as many as 50% of these infants never reach full speech proficiency, even after complete palate reconstruction. This research will aim to better understand why speech difficulties might persist in infants who have had successful cleft palate repair surgery through an analysis of early vocal production. The methodology integrates an established theory-the articulatory filter hypothesis (AFH)-presented by Vihman (2014:121) which proposes that infants notice words in input speech that match their production, and this, in turn, encourages a matching behaviour (feedback-loop) of phoneme-babble resemblances that encourage further vocal production. The AFH foregrounds the significance of production in early speech and that the phonological feedback-loop provides a key foundation for later linguistic advances. Research into the relationship between an infant's vocal production and their perception of has not yet explored how this crucial connection is established after cleft-palate repair. Insight into the AFH could indicate the importance of matching to the acoustic/phonetic properties of caregiver input for target-like production. Research Questions:How do the acoustic-phonetic properties of babble at 13-14 months (i.e., the articulatory and phonetic properties of babbled consonants) differ between typically developing infants and infants after cleft palate repair? To what extent do CP infants respond to the sounds of caregiver speech in their own babble (following the framework set out in Laing and Bergelson, 2020)? To what extent do patterns of babbling and caregiver input matching predict speech and language outcomes at 24 and 36 months? Is one a better predictor than the other? The data will be from the Cleft Collective Speech and Language corpus (CC-SL), which includes English-speaking infants who have undergone full CP restoration (Wren et al. 2017). CC-SL contains data from over 600 children who were studied from birth to 5 years. Data was collected with a language environment analysis-or LENA-device (LENA Research Foundation, 2018), which captures caregiver speech in the infant's environment. The key variables include demographic, psychological, surgical, hearing, and speech/language data. A corpus of 48 TD infants from DePaolis et al. (2010) will serve as a valuable control sample; it includes a set of naturalistic recordings of mother-child interactions at 14 months, which will be tested against CP data for group differences. The CC-SL data on language outcomes (at 24 and 36 months) will be tested for individual differences across CP infants to assess whether they predict language outcomes.The method will draw on a sample of 40 CP infants (post-surgery) and 40 TD infants (control group) to analyse phonological development and to determine whether the articulatory properties in babble can predict later speech outcomes in the CP infants. Descriptive statistics and corpus analysis approaches will serve to explore and analyse two main variables in CP vs. TD infants with a mixed methods approach: the acoustic-phonetic properties of infant babble produced in early vocalisations and the contingency between caregiver input and infant vocalisations. Analyses will include the following stages: -Acoustic phonetic analysis-using PRAAT (Boersma et al. 2019)-of consonant inventories at 13-14 months. -Phonetic transcriptions-using ELAN (2020)-to investigate infant productions. -Transcription of congruent/incongruent caregiver input preceding infant vocalisations, adapted from Laing and Bergelson (2020). -Comparisons of consonant inventories at 13-14 months with speech and language outcomes at 24 and 36 months across CP

在英国，每 700 名婴儿中就有 1 名出生时患有唇裂和/或腭裂（NHS，2020）。大多数患有腭裂 (CP) 的婴儿接受完全修复手术，但不一定能继续完全获得目标般的语言能力 (Hardin-Jones, 2003; Kummer et al., 2012)。 Wren (2017) 表明，即使在完成上颚重建之后，多达 50% 的婴儿也从未达到完全言语能力。这项研究旨在通过分析早期发声的情况，更好地理解为什么在成功进行腭裂修复手术的婴儿中可能会持续存在言语困难。该方法整合了 Vihman (2014:121) 提出的已建立的理论——发声过滤假说 (AFH)，该假说提出，婴儿会注意到输入语音中与他们的发音相匹配的单词，而这反过来又会鼓励音素-牙牙学语相似性的匹配行为（反馈循环），从而鼓励进一步的发声。 AFH 强调了早期言语产生的重要性，并且语音反馈循环为后来的语言进步提供了关键基础。对婴儿发声与感知之间关系的研究尚未探索腭裂修复后如何建立这种重要的联系。对 AFH 的深入了解可以表明匹配护理人员输入的声学/语音特性对于目标生成的重要性。研究问题：正常发育的婴儿和腭裂修复后的婴儿在 13-14 个月时牙牙学语的声学-语音特性（即牙牙学语辅音的发音和语音特性）有何不同？ CP 婴儿对看护者自己牙牙学语的声音有多大程度的反应（遵循 Laing 和 Bergelson，2020 年提出的框架）？牙牙学语模式和看护者输入匹配在多大程度上可以预测 24 个月和 36 个月时的言语和语言结果？其中一个是比另一个更好的预测器吗？数据将来自裂口集体言语和语言语料库 (CC-SL)，其中包括已接受完全 CP 恢复的英语婴儿（Wren 等人，2017）。 CC-SL 包含 600 多名儿童从出生到 5 岁的研究数据。使用语言环境分析或 LENA 设备（LENA 研究基金会，2018）收集数据，该设备捕获婴儿环境中的护理人员的语音。关键变量包括人口统计、心理、手术、听力和言语/语言数据。来自 DePaolis 等人的 48 个 TD 婴儿的语料库。 （2010）将作为有价值的对照样本；它包括一组 14 个月大时母子互动的自然记录，将根据 CP 数据进行群体差异测试。 CC-SL 语言结果数据（24 个月和 36 个月）将针对 CP 婴儿的个体差异进行测试，以评估他们是否可以预测语言结果。该方法将利用 40 名 CP 婴儿（手术后）和 40 名 TD 婴儿（对照组）作为样本来分析语音发育，并确定牙牙学语的发音特性是否可以预测 CP 婴儿后期的言语结果。描述性统计和语料库分析方法将采用混合方法探索和分析 CP 与 TD 婴儿的两个主要变量：早期发声中产生的婴儿牙牙学语的声学特性以及护理人员输入和婴儿发声之间的偶然性。分析将包括以下阶段： - 使用 PRAAT（Boersma 等人，2019 年）对 13-14 个月的辅音清单进行声学语音分析。 -使用 ELAN (2020) 进行语音转录 - 调查婴儿的作品。 -婴儿发声之前一致/不一致的护理人员输入的转录，改编自 Laing 和 Bergelson (2020)。 - CP 中 13-14 个月时的辅音库存与 24 个月和 36 个月时的言语和语言结果的比较