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Event-Based Instantaneous Fundamental Frequency Estimation From Speech Signals

机译:基于事件的语音信号瞬时基本频率估计

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摘要

Exploiting the impulse-like nature of excitation in the sequence of glottal cycles, a method is proposed to derive the instantaneous fundamental frequency from speech signals. The method involves passing the speech signal through two ideal resonators located at zero frequency. A filtered signal is derived from the output of the resonators by subtracting the local mean computed over an interval corresponding to the average pitch period. The positive zero crossings in the filtered signal correspond to the locations of the strong impulses in each glottal cycle. Then the instantaneous fundamental frequency is obtained by taking the reciprocal of the interval between successive positive zero crossings. Due to filtering by zero-frequency resonator, the effects of noise and vocal-tract variations are practically eliminated. For the same reason, the method is also robust to degradation in speech due to additive noise. The accuracy of the fundamental frequency estimation by the proposed method is comparable or even better than many existing methods. Moreover, the proposed method is also robust against rapid variation of the pitch period or vocal-tract changes. The method works well even when the glottal cycles are not periodic or when the speech signals are not correlated in successive glottal cycles.
机译:利用声门循环序列中的脉冲状激励特性,提出了一种从语音信号中导出瞬时基频的方法。该方法包括将语音信号通过位于零频率的两个理想谐振器。通过减去在对应于平均音调周期的间隔上计算出的局部平均值,从谐振器的输出中得出滤波后的信号。滤波信号中的正零交叉对应于每个声门周期中强脉冲的位置。然后,通过取连续正零交叉之间的间隔的倒数来获得瞬时基频。由于采用了零频谐振器进行滤波,因此实际上消除了噪声和声道变化的影响。出于相同的原因,该方法对于由于加性噪声引起的语音劣化也很鲁棒。所提出的方法的基本频率估计的准确性与许多现有方法相当或什至更好。而且,所提出的方法对于音调周期或声道变化的快速变化也是鲁棒的。即使当声门周期不是周期性的或者在连续的声门周期中语音信号不相关时,该方法也能很好地工作。

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