Pitch-Scaled Spectrum Based Excitation Model for HMM-based Speech Synthesis

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	Pitch-Scaled Spectrum Based Excitation Model for HMM-based Speech Synthesis
	Wen, Zhengqi; Tao, Jianhua; Pan, Shifeng; Wang, Yang
刊名	JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY
	2014-03-01
卷号	74 期号:3 页码:423-435
关键词	Speech synthesis HMM-based speech synthesis Parametric representation of speech Excitation model Pitch-scaled spectrum
英文摘要	The speech generated by hidden Markov model (HMM)-based speech synthesis systems (HTS) suffers from a 'buzzing' sound, which is due to an over-simplified vocoding technique. This paper proposes a new excitation model that uses a pitch-scaled spectrum for the parametric representation of speech in HTS. A residual signal produced using inverse filtering retains the detailed harmonic structure of speech that is not part of the linear prediction (LP) spectrum. By using pitch-scaled spectrums, we can compensate the LP spectrum using the detailed harmonic structure of the residual signal. This spectrum can be compressed using a periodic excitation parameter so that it can used to train HTS. We define an aperiodic measure as the harmonics-to-noise ratio, and calculate a voicing-cut off frequency to fit the aperiodic measure to a sigmoid function. We combine the LP coefficient, pitch-scaled spectrum, and sigmoid function to create a new parametric representation of speech. Listening tests were carried out to evaluate the effectiveness of the proposed technique. This vocoder received a mean opinion score of 4.0 in analysis-synthesis experiments, before dimensionality reduction. By integrating this vocoder into HTS, we improved the sound of the synthesized speech compared with the pulse train excitation model, and demonstrated an even better result than STRAIGHT-HTS.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Information Systems ; Engineering, Electrical & Electronic
研究领域[WOS]	Computer Science ; Engineering
关键词[WOS]	VOICED SPEECH ; WAVE-FORM ; ALGORITHM ; COMPONENTS ; SIGNALS
收录类别	SCI
语种	英语
WOS记录号	WOS:000333206500012
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/3241]
专题	自动化研究所_模式识别国家重点实验室_人机语音交互团队
作者单位	Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wen, Zhengqi,Tao, Jianhua,Pan, Shifeng,et al. Pitch-Scaled Spectrum Based Excitation Model for HMM-based Speech Synthesis[J]. JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY,2014,74(3):423-435.
APA	Wen, Zhengqi,Tao, Jianhua,Pan, Shifeng,&Wang, Yang.(2014).Pitch-Scaled Spectrum Based Excitation Model for HMM-based Speech Synthesis.JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY,74(3),423-435.
MLA	Wen, Zhengqi,et al."Pitch-Scaled Spectrum Based Excitation Model for HMM-based Speech Synthesis".JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY 74.3(2014):423-435.