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	Structured modeling based on generalized variable parameter HMMs and speaker adaptation
	Yang Li; Xunying Liu; Lan Wang
	2012
会议名称	8th International Symposium on Chinese Spoken Language Processing
会议地点	香港
英文摘要	It is a challenging task that to handle ambient variable acoustic factors in automatic speech recognition (ASR) system. The ambient variable noise and the distinct acoustic factors among speakers are two key issues for recognition task. To solve these problems, we present a new framework for robust speech recognition based on structured modeling, using generalized variable parameter HMMs (GVP-HMMs) and unsupervised speaker adaptation (SA) to compensate the mismatch from environment and speaker variability. GVP-HMMs can explicitly approximate the continuous trajectory of Gaussian component mean, variance and linear transformation parameter with a polynomial function against the varying noise level. In recognition stage, MLLR transform captures general relationship between the original model set and the current speaker, which could help in removing the effects of unwanted speaker factors. The effectiveness of the proposed approach is confirmed by evaluation experiment on a medium vocabulary Mandarin recognition task.
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/172644/3806]
专题	深圳先进技术研究院_集成所
作者单位	2012
推荐引用方式 GB/T 7714	Yang Li,Xunying Liu,Lan Wang. Structured modeling based on generalized variable parameter HMMs and speaker adaptation[C]. 见:8th International Symposium on Chinese Spoken Language Processing. 香港.

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