Abstract
In this paper, a new method of the recurrence analysis pitch detection of nonlinear dynamical characteristics for speech signals is designed，which calculated firstly the pitch by recurrence quantification，and then distinguished accurately voiced/unvoiced by the product of the recurrence degree and the pitch, and modified the fluctuating pitch. The results show that the new method performance is better than the conventional autocorrelation algorithm and cepstrum method，especially in the part that the surd and the sonant are not evident, and get a high robustness in noisy environment.
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