最大话音频率估计：利用幅度和相位谱
Maximum Voiced Frequency Estimation: Exploiting Amplitude and Phase Spectra
摘要：
最大浊音频率（MVF）在各种语音模型中用作浊音产生期间分离周期性和非周期性分量的频谱边界。最近的研究表明，其适当的估计和建模提高了统计参数语音合成器的质量。相比之下，这些相同的MVF估计方法已经被报道降低了歌唱声音合成器的性能。本文提出了一种新的MVF估计方法，利用幅度和相位谱。结果表明，相位传达有关的语音信号的谐波的相关信息，它可以与来自幅度谱的功能联合使用。该信息被进一步整合到最大似然准则中，该准则提供关于MVF估计的决定。所提出的技术相比，两个国家的最先进的方法，并显示出优越的性能，在客观和主观评价。感知测试表明，在高音的声音有了很大的改善。
英文摘要：
Maximum Voiced Frequency (MVF) is used in various speech models as the spectral boundary separating periodic and aperiodic components during the production of voiced sounds. Recent studies have shown that its proper estimation and modeling enhance the quality of statistical parametric speech synthesizers. Contrastingly, these same methods of MVF estimation have been reported to degrade the performance of singing voice synthesizers. This paper proposes a new approach for MVF estimation which exploits both amplitude and phase spectra. It is shown that phase conveys relevant information about the harmonicity of the voice signal, and that it can be jointly used with features derived from the amplitude spectrum. This information is further integrated into a maximum likelihood criterion which provides a decision about the MVF estimate. The proposed technique is compared to two state-of-the-art methods, and shows a superior performance in both objective and subjective evaluations. Perceptual tests indicate a drastic improvement in high-pitched voices.
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