Speech Detection Using High Order Statistic (Skewness)
نویسندگان
چکیده
In this article we discuses one of many possible applications of high order statistic (HOS) to speech detection problem. As a speech feature we used skewness or thirdorder cumulant with two zero lags in a simple voiced speech detection algorithm. We compared its properties with the energy feature in symmetric noises, speech signals and in various signal to noise ratios (SNR). These results proofed skewness feature being much suitable than energy for detection purposes, given those environment settings. Furthermore, we executed detection accuracy tests, which showed skewness outperforming classical approach, especially in low SNRs’.
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