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Pitch tracking and pitch marking (PM) are two important speech signal analysis techniques for several applications. The accuracy of both pitch marking and tracking is significant to generate smooth synthesized speech by controlling the pitch and duration of voiced speech in Text-to-Speech (TTS) system for example. In this paper, we present a novel hybrid approach, combining electro-glotto-graph (EGG)-based PM and speech signal-based PM into a single framework, to acquire more reliable and automatic PM technique. Experimental results show that the PM performance of the suggested method is excellent being capable of determining Glottal Closure Instants (GCI) precisely even in the case of noisy EGG signals.