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	Formant Speech Synthesis Based on Trainable Model
	Zhang, Zhiping ; Wu, Xihong
	2013
关键词	Speech synthesis Formant model Trainable synthesis Hidden trajectory model
英文摘要	The authors proposed a trainable formant synthesis method based on the multi-channel Hidden Trajectory Model (HTM). In the method, the phonetic targets, formant trajectories and spectrum states from the oral, nasal, voiceless and background channels were designed to construct hierarchical hidden layers, and then spectrum were generated as observable features. In model training, the phonemic targets were learned from one-hour training speech data and the boundaries of phonemes were also aligned. The experimental results showed that the speech could be reconstructed with the formant trainable model by a source-filter synthesizer.; Materials Science, Multidisciplinary; Remote Sensing; CPCI-S(ISTP); 0
语种	英语
DOI标识	10.4028/www.scientific.net/AMM.303-306.1334
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/292615]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Zhang, Zhiping,Wu, Xihong. Formant Speech Synthesis Based on Trainable Model. 2013-01-01.

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