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One-formant vocal tract modeling for glottal pulse shape estimation

机译:声门脉冲形状估计的一共振峰声道模型

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This work considers the task of estimating the source and filter from human voice signals. Since the energy of voiced sound concentrates on discrete frequencies, a notable challenge with this task would be that higher pitches in the signal can make the harmonically related frequency response samples of the vocal tract filter an incomplete representation. In view of this, we propose to model the magnitude and phase response of the first formant as an alternative to the minimum phase property of the vocal tract filter. In particular, the magnitude response of the vocal tract filter sampled at the first three partials only, is sufficient for determining the phase response of the first formant. We verified our new method with glottal pulse shape parameter estimation experiments conducted on the CMU Arctic dataset, which showed that single-formant filter is an adequate alternative to minimum-phase filter in vocal tract modeling for glottal pulse shape estimation.
机译:这项工作考虑了从人声信号中估计信号源和滤波器的任务。由于发声声音的能量集中在离散频率上,因此此任务的显着挑战是信号中较高的音调可能会使声道滤波器的与谐波相关的频率响应样本不完整。鉴于此,我们建议对第一共振峰的幅度和相位响应进行建模,以替代声道滤波器的最小相位特性。特别地,仅在前三个部分采样的声道滤波器的幅度响应足以确定第一共振峰的相位响应。我们通过在CMU Arctic数据集上进行的声门脉冲形状参数估计实验验证了我们的新方法,该实验表明,在声门建模中,单共振峰滤波器是最小相位滤波器的理想替代品,可用于声门脉冲形状估计。

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