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Automatic assessment of putonghua articulation and pronunciation disorder

机译:自动评估普通话发音和发音障碍

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摘要

In this paper, an automatic assessment system has been developed for Putonghua articulation and pronunciation assessment. The framework of developing the system consists of designing the vocabularies respectively for the two assessment parts with standard scoring regulations, constructing the speech recognition module which makes use of a HMM based acoustic model with 39 parameters including logarithmic energy, the previous 12 MFCCs and their first and second difference extracted from the records of speech and the Speech SDK which is a developing kit from Microsoft to improve the accuracy, and building disorder diagnosis module according to the clinical requirement. In order to measure accuracy of this objective method, a comparative experiment is carried out with the subjective one, the results show that the two methods are almost the same and have a extremely correlation in both the articulation and pronunciation assessments.
机译:本文开发了一种自动评估系统,用于普通话发音和语音评估。开发系统的框架包括分别为两个评估部分设计具有标准评分规则的词汇表,构建语音识别模块,该模块使用基于HMM的声学模型,该模型具有39个参数,包括对数能量,前12个MFCC及其第一个从语音记录中提取的第二个差异和语音SDK(Microsoft的开发工具包,用于提高准确性)以及根据临床要求构建疾病诊断模块。为了衡量该客观方法的准确性,对一个主观方法进行了比较实验,结果表明这两种方法几乎相同,并且在清晰度和发音评估方面都具有极大的相关性。

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