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Formant Frequency Estimations of Whispered Speech in Chinese

机译：中文低语语音的共振峰频率估计

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摘要

Formant frequencies are important cues for characterizing whispered speech. However, it is difficult to exactly estimate its formant by the conventional linear prediction coding algorithm. The main reason is that the formant bandwidth of a whisper is wider than that of voiced speech. This brings up the pole interaction problem that then leads to the result that one or more real roots are regarded as spurious and deleted from the original LP polynomial. To reduce the degradation of pole interactions, an improved root-finding formant estimation algorithm has been proposed. In this algorithm, the whisper formant bandwidth is modified to make the spectral energy of the remained formant polynomial equal to that of the original LP polynomial. Experimental results with six Chinese whispered monophthong phonemes show that the formant frequencies obtained by the proposed algorithm produce a more reliable formant spectrum than the one that does not consider the pole interaction effect.
机译：共振峰频率是表征耳语的重要线索。然而，通过传统的线性预测编码算法很难准确地估计其共振峰。主要原因是耳语的共振峰带宽大于浊音的共振峰带宽。这提出了极相互作用问题，然后导致一个结果，即一个或多个实根被视为虚假的，并从原始LP多项式中删除。为了减少极相互作用的退化，提出了一种改进的寻根共振峰估计算法。在该算法中，对耳语共振峰带宽进行了修改，以使剩余共振峰多项式的频谱能量等于原始LP多项式的频谱能量。六个中文低语单音节音素的实验结果表明，与不考虑极点相互作用效应的共振峰频率相比，所提算法获得的共振峰频率产生了更可靠的共振峰频谱。

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