Speech stream detection based on one and half spectrum
Liran Shen, Xueyao Li, Qingbo Yin, Huiqiang Wang, Rubo Zhang · 2004
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.