Automatic Analysis of Pronunciations for Children with Speech Sound Disorders.
Automatic Analysis of Pronunciations for Children with Speech Sound Disorders.
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DOI：
10.1016/j.csl.2017.12.006
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发表时间：
2018-07
影响因子：
4.3
通讯作者：
Kain A
中科院分区：
文献类型：
--
作者：
Dudy S;Bedrick S;Asgari M;Kain A
计算机辅助发音训练(CAPT)系统旨在帮助孩子学习单词的正确发音。然而，尽管有许多在线商业CAPT应用程序，但言语语言治疗师(SLP)或非专业人士对于哪些CAPT系统(如果有的话)运行良好还没有达成共识。普遍的假设是，用这样的程序练习不太可靠，因此不能提供必要的反馈，让孩子们提高他们的表现。评估发音表现最常用的方法是发音好坏(GOP)技术。本文提出了两种新的GOP技术。我们发现，使用关于错误发音模式的显性知识的发音模型可以导致更准确的分类，无论音素是否正确发音。我们针对GOP方法的基线状态对所提出的发音评估方法进行了评估，并表明所提出的技术导致的分类性能更接近于人类专家的分类性能。
Computer-Assisted Pronunciation Training (CAPT) systems aim to help a child learn the correct pronunciations of words. However, while there are many online commercial CAPT apps, there is no consensus among Speech Language Therapists (SLPs) or non-professionals about which CAPT systems, if any, work well. The prevailing assumption is that practicing with such programs is less reliable and thus does not provide the feedback necessary to allow children to improve their performance. The most common method for assessing pronunciation performance is the Goodness of Pronunciation (GOP) technique. Our paper proposes two new GOP techniques. We have found that pronunciation models that use explicit knowledge about error pronunciation patterns can lead to more accurate classification whether a phoneme was correctly pronounced or not. We evaluate the proposed pronunciation assessment methods against a baseline state of the art GOP approach, and show that the proposed techniques lead to classification performance that is more similar to that of a human expert.
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DOI：
10.1044/jshr.3603.533
发表时间：
1993-06-01
期刊：
JOURNAL OF SPEECH AND HEARING RESEARCH
影响因子：
--
作者：
SMIT, AB
通讯作者：
SMIT, AB
DOI：
10.1109/embc.2015.7319655
发表时间：
2015-08
期刊：
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子：
--
作者：
Dudy S;Asgari M;Kain A
通讯作者：
Kain A
影响因子：
5.8
作者：
Bates, Douglas;Maechler, Martin;Walker, Steven C.
通讯作者：
Walker, Steven C.
影响因子：
3.2
作者：
Benzeghiba, M.;De Mori, R.;Wellekens, C.
通讯作者：
Wellekens, C.
影响因子：
1.8
作者：
BUSE, A
通讯作者：
BUSE, A