A New Pitch Estimation Method Based on AMDF

In this paper, a new modified average magnitude difference function (MAMDF) is proposed which is robust for noise-corrupt speech pitch estimation. The traditional technology in pitch estimation can easily give rise to the problem of detecting error pitch period. And their estimation performance behaves badly with the occurrence of background noise. In the process of calculation on speech samples, MAMDF presented in this paper has the property of strengthening the characteristic of pitch period and reducing the influence of background noise. And therefore, MAMDF can not only decrease the disadvantage brought by the decreasing tendency of pitch period but also overcome the error caused by severe variation between neighboring samples. The experiment which is implemented in CSTR database shows that MAMDF is greatly superior to AMDF and CAMDF both in clean speech environment and noisy speech environment, representing prominent precision and robustness in pitch estimation.

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