Pitch-Scaled Analysis based Residual Reconstruction for Speech Analysis and Synthesis

	Pitch-Scaled Analysis based Residual Reconstruction for Speech Analysis and Synthesis
	Wen, Zhengqi; Kawahara, Hideki; Tao, Jianhua; Zhengqi Wen
	2012
会议名称	13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012
会议录名称	Annual Conference of the International Speech Communication Association (INTERSPEECH)
页码	374-377
会议日期	2012
会议地点	美国
摘要	The typical problem in LPC-like vocoder is buzzing sound which is mainly due to the simple pulse train or noise excitation model. One way to improve it is to reconstruct the residual obtained from inverse filtering. So a new parametric representation of speech based on pitch-scaled analysis is proposed in this paper. Pitch-scaled analysis is used to extract the periodic spectrum of residual with half pitch period length. Then these periodic spectrums are de-correlated by principal component analysis (PCA) to reduce their dimension. Aperiodic measure is defined as the harmonic-to-noise ratio in the frequency domain where voicing cut-off frequency (VCO) is used to control the smoothness of aperiodicity. Periodic spectrum and aperiodic measure together with F0 are indicated as excitation parameters in the proposed LPC vocoder. Experimental results show that this proposed vocoder can get a mean opinion score (MOS) of 4.1 for a female voice before dimensionality reduction and keep the high-quality property after parameter compression.
关键词	Speech Parametric Representation Pitch-scaled Analysis Voicing Cut-off Frequency Principal Component Analysis
收录类别	EI
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/41278
专题	多模态人工智能系统全国重点实验室_智能交互
通讯作者	Zhengqi Wen
推荐引用方式 GB/T 7714	Wen, Zhengqi,Kawahara, Hideki,Tao, Jianhua,et al. Pitch-Scaled Analysis based Residual Reconstruction for Speech Analysis and Synthesis[C],2012:374-377.