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Structural analysis of Chinese dialects and its experimental application to pronunciation assessment

机译:汉语方言的结构分析及其在语音评估中的实验应用

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摘要

The current situation of Chinese dialects is very complicated, not only because there are hundred kinds of dialects, sub-dialects and sub-sub-dialects, but also because many dialect speakers are speaking Mandarin with different regional accents affected by their dialects. If dialect utterances are represented acoustically, their acoustic features depend both on dialectal linguistic features and extra-linguistic features such as the age, gender, micro-phone, etc. Then, the automatic pronunciation assessment of Chinese dialects becomes a challenging task. In this paper, we propose to analyze the dialect pronunciation by the structural representation, which was originally used to remove extra-linguistic information from speech. After collecting the utterances of some selected Chinese written characters, the pronunciation structures are built for dialect speakers and their pronunciations are compared by the distances among the structures. Then with the dialect utterances of 16 native dialect speakers, some experiments are carried out to analyze their pronunciations using the structures and linguistically-reasonable results are obtained. At last, by comparing the pronunciation structures of dialect speakers with those of two standard Mandarin speakers, the pronunciation similarity orders of the characters are obtained. Through these experiments, our approach is proved again that it works well in extracting the linguistic features from dialect utterances and shows high independence of the extra-linguistic features.
机译:中国方言的现状非常复杂,这不仅是因为方言,亚方言和亚分方言有数百种,而且还因为许多方言说方言的普通话具有受其方言影响的不同区域口音。如果以语音表示方言话语,则其语音特征既取决于方言语言特征又取决于语言特征,例如年龄,性别,麦克风等。然后,汉语方言的自动语音评估成为一项艰巨的任务。在本文中,我们建议通过结构表示来分析方言发音,该结构表示最初是用于从语音中删除语言外信息的。在收集了一些选定汉字的发音之后,建立了针对方言发音者的发音结构,并根据它们之间的距离对它们的发音进行了比较。然后,以16位母语的方言发音为例,进行了一些实验,使用其结构分析其发音,并获得了语言合理的结果。最后,通过比较方言说话者的语音结构和两种普通话说话者的语音结构,得出汉字的发音相似度。通过这些实验,我们的方法再次证明了它在从方言话语中提取语言特征的过程中很好地工作,并且显示了额外语言特征的高度独立性。

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