Boundaries between different speech events, as closure of the glottis or abrupt changes in the vocal tract area, are detected by estimation of short-term Higher Order Moments (HOMs), as speech segments comprising two close events diverges from a gaussian model of the underlying production process: in fact, gaussian processes are completely defined by first and second order statistics, and boundaries can be detected adopting an hypotesis verification strategy based on the estimated HOMs values.