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Automatic Extraction of Tone Command Parameters for the Model of F_0 Contour Generation for Standard Chinese

机译:标准中文F_0轮廓生成模型的音调命令参数的自动提取

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摘要

The model for the process of F_0 contour generation, first proposed by Fujisaki and his coworkers, has been successfully applied to Standard Chinese, which is a typical tone language with a distinct feature that both positive and negative tone commands are required. However, the inverse problem, viz., automatic derivation of the model parameters from an observed F_0 contour of speech, cannot be solved analytically. Moreover, the extraction of model parameters for Standard Chinese is more difficult than for Japanese and English, because the polarity of tone commands cannot be inferred directly from the F_0 contour itself. In this paper, an efficient method is proposed to solve the problem by using information on syllable timing and tone labels. With the same framework as for the successive approximation method proposed for Japanese and English, the method presented here for Standard Chinese is focused on the first-order estimation of tone command parameters. A set of infra-syllable and inter-syllable rules are constructed to recognize the tone command patterns within each syllable. The experiment shows that the method works effectively and gives results comparable to those obtained by manual analysis.
机译:藤崎及其同事首次提出的F_0轮廓生成过程模型已成功应用于标准中文,这是一种典型的音调语言,具有需要正负音调命令的独特功能。但是,反问题,即从观察到的F_0语音轮廓自动导出模型参数,不能用解析的方法解决。此外,由于无法直接从F_0轮廓本身推断出音调命令的极性,因此标准中文的模型参数的提取比日语和英语更困难。本文提出了一种有效的方法,通过使用有关音节定时和音调标签的信息来解决该问题。在与针对日语和英语提出的逐次逼近方法相同的框架下,此处针对标准中文提出的方法侧重于音调命令参数的一阶估计。构造了一组下音节和音节间规则,以识别每个音节内的音调命令模式。实验表明,该方法行之有效,得到的结果可与手动分析获得的结果相媲美。

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