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Optimization for Parameters of a Vocal Tract Model Based on Simulated Annealing Algorithm

机译:基于模拟退火算法的声乐模型参数优化

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摘要

Vocal tract can be modeled by analyzing the speech signals. The accuracy of this method depends on specifying and optimizing the articulatory parameters properly. A kind of vocal tract model, which is described in a midsagittal plane, generally contains 8 12 articulatory parameters, which have close relations with the acoustic formants. Calculating the first four formants frequency according to these articulatory parameters is in order to make mean error between natural formant and model formant as small as possible. It is a combinatorial optimization problem. This problem can be solved by simulated annealing algorithm. Mermelstein’s model is a midsagittal vocal tract outline, which can match the X-ray tracings. This paper chooses an improved Mermelstein’s model, proposed a method for optimizing the articulatory parameters based on simulated annealing algorithm in MATLAB. The results of experimentation show this method is effective.
机译:可以通过分析语音信号来模拟声道。此方法的准确性取决于正确指定和优化发音参数。在矢状面中段描述的一种声道模型通常包含8 12个关节参数,这些参数与共振峰有密切关系。根据这些发音参数计算前四个共振峰的频率是为了使天然共振峰和模型共振峰之间的平均误差尽可能小。这是一个组合优化问题。这个问题可以通过模拟退火算法来解决。 Mermelstein的模型是矢状中声道轮廓,可以匹配X射线描迹。本文选择了一种改进的梅尔梅斯坦模型,提出了一种基于MATLAB中的模拟退火算法的关节参数优化方法。实验结果表明该方法是有效的。

著录项

  • 来源
    《ChinaVR'2010 : Abstract.》|2010年|p.324-328|共5页
  • 会议地点 Shanghai(CN)
  • 作者单位

    Key Laboratory of Speech and Hearing Science Ministry of Education, ECNU;

    Key Laboratory of Speech and Hearing Science Ministry of Education, ECNU;

    Key Laboratory of Speech and Hearing Science Ministry of Education, ECNU;

    Key Laboratory of Speech and Hearing Science Ministry of Education, ECNU;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算机仿真;计算机仿真;
  • 关键词

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