期刊文献+

基于语音生成和发音模型的语音合成新方法的探讨 被引量:2

Study of a new synthesis method based on speech production model and RTLA model
下载PDF
导出
摘要 提出基于语音生成模型和发音模型RTLA合成模式实现以共振峰轨迹为目标的语音合成的新方法。该方法采用了基于发音声学原理的反射型传输线模型来实现语音合成器。用于控制合成器的声道面积函数参数由以三个共振峰轨迹为目标的语音生成逆向解获得。该方法不仅可以得到动态过渡和自然度好的合成语音,能够方便灵活地控制或改变语音音色,合成器所需的输入控制参数少,参数更新率低。 A new method to synthesize formant targeted sounds based on speech production model and RTLA articula- tory synthesis model is studied. The synthesis model is implemented with scattering process derived from reflection-type line analog of vocal tract system according to the acoustic model of speech production. The vocal-tract area function which controls the synthesis model is derived from the first three formant trajectories using the inverse solution of speech production. The proposed method hot only gives good naturalness and dynamic smoothness, but also is capable to control or modify speech timbres easily and flexibly. Furthermore, it needs less number of control parameters and very low system sampling rate.
出处 《声学学报》 EI CSCD 北大核心 2000年第5期455-462,共8页 Acta Acustica
基金 本文研究获国家自然科学基金!(项目编号:69972046) 浙江省自然科学基金!(项目编号:698076)资助。
关键词 语音生成 发音模型 语音合成 Acoustic generators Inverse problems Models Speech processing Trajectories
  • 相关文献

参考文献7

二级参考文献6

共引文献11

同被引文献17

  • 1孟子厚.普通话单元音女声共振峰统计特性测量[J].声学学报,2006,31(3):199-202. 被引量:8
  • 2Deng L, Lee L, Attias H, Acero A. Adaptive Kalman filtering and smoothing for tracking vocal tract resonances using a continuous valued hidden dynamic model. IEEE Trans. Speech Audio Process, 2007; 15(1): 13-23 被引量:1
  • 3Deng L, Acero A, Bazzi I. Tracking vocal tract resonances using a quantized nonlinear function embedded in a temporal constraint. IEEE Trans. Speech Audio Process, 2006; 14(2): 425-434 被引量:1
  • 4Deng L, Bazzi I, Acero A. Tracking vocal tract resonances using an analytical nonlinear predictor and a target-guided temporal constraint. Proc. Eurospeech, Geneva, 2003; 1: 73-76 被引量:1
  • 5Zhao Q, Shimamura T, Suzuki J. A robust algorithm for formant frequency extraction of noisy speech. ISCAS'98,Proceedings of the 1998 IEEE International Symposium on Circuits and Systems, Monterey, 1998; 5:534-537 被引量:1
  • 6Zolfaghari P, Robinson T. Formant analysis using mixtures of Gaussians. Proc. ICSLP, Philadelphia, 1996; 2: 1229-1232 被引量:1
  • 7Acero A. Formant analysis and synthesis using hidden Markov models. Proc. of the Eurospeech Conference, Budapest, 1999:1047-1050 被引量:1
  • 8Candy J V. Bootstrap particle filtering. IEEE Signal Processing Magazine, 2007:73-85 被引量:1
  • 9Arulampalam M S, Maskell S, Gordon N. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans. on Signal Processing, 2002; 50(2): 174-188 被引量:1
  • 10Hue C, Cadre J, Perez P. Sequential Monte Carlo methods for multiple target tracking and data fusion. IEEE Trans. on Signal Processing, 2002; 50(2): 309-325 被引量:1

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部