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	Generalized Variable Parameter HMMs Based Acoustic-to-articulatory Inversion
	Xie, Xurong; Liu, Xunying; Wang, Lan; Su, Rongfeng
	2015
会议名称	INTERSPEECH 2015
会议地点	Dresden, Germany
英文摘要	Acoustic-to-articulatory inversion is useful for a range of related research areas including language learning, speech production, speech coding, speech recognition and speech synthesis. HMM-based generative modelling methods and DNNbased approaches have become dominant approaches in recent years. In this paper, a novel acoustic-to-articulatory inversion technique based on generalized variable parameter HMMs (GVP-HMMs) is proposed. It leverages the strengths of both generative and neural network based modelling frameworks. On a Mandarin speech inversion task, a tandem GVP-HMM system using DNN bottleneck features as auxiliary inputs significantly outperformed the baseline HMM, multiple regression HMM (MR-HMM), DNN and deep mixture density network (MDN) systems by 0.20mm, 0.16mm, 0.12mm and 0.10mm respectively in terms of electromagnetic articulography (EMA) root mean square error (RMSE).
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/172644/6717]
专题	深圳先进技术研究院_集成所
作者单位	2015
推荐引用方式 GB/T 7714	Xie, Xurong,Liu, Xunying,Wang, Lan,et al. Generalized Variable Parameter HMMs Based Acoustic-to-articulatory Inversion[C]. 见:INTERSPEECH 2015. Dresden, Germany.

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