Speech stream detection based on one and half spectrum

The aim of speech stream detection is to capture the speech stream which comes randomly. HOS have inherent properties that make them well suited when dealing with a mixture of Gaussian and non-Gaussian processes. One and half spectrum is a special case of HOS; it not only holds the characters but also saves a lot of computing time. This paper explores the one and half spectrum of speech signal and presents a new algorithm for speech stream detection. The results of a lot of experiments, whose data come from the real recorded on spot, show that the method is performed well.