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	Integration of multilayer regression analysis with structure-based pronunciation assessment
	Masayuki Suzuki; Yu Qiao; Nobuaki Minematsu; Keikichi Hirose
	2010
会议名称	11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010
英文摘要	Automatic pronunciation assessment has several difficulties. Adequacy in controlling the vocal organs is often estimated from the spectral envelopes of input utterances but the envelope patterns are also affected by other factors such as speaker identity. Recently, a new method of speech representation was proposed where these non-linguistic variations are effectively removed through modeling only the contrastive aspects of speech features. This speech representation is called speech structure. However, the often excessively high dimensionality of the speech structure can degrade the performance of structure-based pronunciation assessment. To deal with this problem, we integrate multilayer regression analysis with the structure-based assessment. The results show higher correlation between human and machine scores and also show much higher robustness to speaker differences compared to widely used GOP-based analysis
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/2764]
专题	深圳先进技术研究院_集成所
作者单位	2010
推荐引用方式 GB/T 7714	Masayuki Suzuki,Yu Qiao,Nobuaki Minematsu,et al. Integration of multilayer regression analysis with structure-based pronunciation assessment[C]. 见:11th Annual Conference of the International Speech Communication Association: Spoken Language Processing for All, INTERSPEECH 2010.

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