Fusing Text-dependent Word-level i-Vector Models to Screen 'at Risk' Child Speech

Fusing Text-dependent Word-level i-Vector Models to Screen 'at Risk' Child Speech
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融合文本相关的词级 i-Vector 模型来筛查“有风险”的儿童言语

DOI:
10.21437/interspeech.2018-1465
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发表时间:
2018
影响因子:
1.8
通讯作者:
J. Hansen
J. Hansen
中科院分区:
医学3区
文献类型:
--
作者:
Prasanna V. Kothalkar;J. Rudolph;C. Dollaghan;Jennifer McGlothlin;T. Campbell;J. Hansen

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言语声音障碍(SSD)是学龄前儿童中最常见的沟通障碍类型。SSD被识别得越早,就可以越早提供干预,以潜在地减少该疾病的社会/学术影响。挑战在于早期识别这些疾病。在这项研究中,165名3-6岁的儿童产生了29个精心挑选的单词。录音由父母使用移动的应用程序/平台收集。“正常发育”与“处于危险中”的“基本事实”儿童状态是基于辅音正确修正的增长曲线模型的百分比。最先进的语音处理/说话人识别模型与我们的临床组验证框架一起使用沿着。结果表明,文本相关的i-Vector模型是上级优于文本相关和文本无关的高斯混合模型(GARCH)的正确分类的儿童。融合单个单词,i-Vector模型提供了对单词和辅音分组的深入了解,这些分组更能表明“有风险”的儿童语音。
Speech sound disorders (SSDs) are the most prevalent type of communication disorder among preschoolers. The earlier an SSD is identified, the earlier an intervention can be provided to potentially reduce the social/academic impact of the disorder. The challenge, lies in early identification of such disorders. In this study 29 carefully selected words were produced by 165 children from 3-6 years of age. The audio recordings, were collected by parents using a mobile application /platform. ”Ground truth” child status as ’typically developing’ vs ’at risk’ was based on a percentage of consonants correct-revised growth curve model. State-of-the-art speech processing/speaker recognition models were employed along with our clinical group verification framework. Results showed that text-dependent i-Vector models were superior to both text dependent and text-independent Gaussian Mixture Models (GMMs) for correct classification of children. Fusing individual word, i-Vector models provides insight into word and consonant groupings that are more indicative of ’at risk’ child speech.
DOI: 10.21437/slpat.2016-16
发表时间: 2016-09
期刊: Workshop on Speech and Language Processing for Assistive Technologies
影响因子: --
作者:
Wang J;Kothalkar PV;Kim M;Yunusova Y;Campbell TF;Heitzman D;Green JR
通讯作者: Green JR
用于评估辅音正确修订百分比 (PCC-R) 变化的性能曲线。
DOI: 10.1044/1092-4388(2007/077
发表时间: 2007
期刊: Journal of speech, language, and hearing research : JSLHR
影响因子: --
作者:
Campbell,ThomasF;Dollaghan,Christine;Janosky,JanineE;Adelson,PDavid
通讯作者: Adelson,PDavid