期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：7
出版社：S.S. Mishra
摘要：This paper describes the new approach to finding pitch markers (vocal tract excitation) using ensemble empirical mode decomposition (EEMD). EEMD is the method used for time-frequency analysis for any signal. Using EEMD, signal decomposed into intermediate function called IMF. This IMF is used to extract the pitch excitation in speech signal. The basic ideology behind this work is that, it assumed IMF con tains single frequency at every instant of time and it can be possible one of its IMF contains fundamental frequency, so it is easy to pick information about pitch markers directly from that IMF. Here IMF 4 used for this study. To find out accurate pitch marker zero crossing points determined in IMF and after that to separate voiced, unvoiced and silence segment simple energy based threshold is applied. This proposed algorithm is giving very promising and convincing results
