High order statistic estimators for speech processing

Abstract: Speech is the easiest mean of communication for human. The reason why the vocal command along with speech recognitions are more and more used in many applications. Especially in automotive industries, speech recognition algorithms are used in order to help the driver and to reduce his tasks. Recently, high order statistics (HOS) have been used in many signal processing techniques in order to estimate signal characteristics. By using data features in real time applications, one can derive new HOS estimators. In this paper, different estimators of high order moment and cumulant using different kind of signals are proposed and discussed