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oai:recercat.cat:2117/1007892026-01-21T06:01:59Zcom_2072_1033col_2072_452950

00925njm 22002777a 4500 dc Moreno Bilbao, M. Asunción author Rodríguez Fonollosa, José Adrián author 1992 The use of third-order statistics to determine the pitch of a speech signal and how they can eliminate the effect of a wide range of noises, including those generated by periodic sources, are shown. The proposed algorithm is based on the property that higher-order statistics can extract useful information about the statistics of voiced frames, and they can separate speech from noise. Third-order statistics are quite insensitive to most noises (Gaussian, sinusoidal, car noise, etc.) because these noises have a symmetric probability density function, and therefore their third-order cumulants are zero. The algorithm has been tested in noise-corrupted speech, at different levels of signal to noise ratio, and with different kinds of noise. The results show that this new algorithm gives in all the cases a much better estimation of the pitch than the conventional autocorrelation method. Peer Reviewed Postprint (published version) Àrees temàtiques de la UPC::Enginyeria de la telecomunicació Telecommunication Statistical analysis Noise Speech analysis and processing Telecomunicació Pitch determination of noisy speech using higher order statistics