International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
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 contains 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.