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This paper presents a speech interactivity embedded module (SIEM) that is quite simplified and suitable for programmable anthropomorphic dialogue and menu-driven recognition applications. The proposed SIEM adopts average magnitude different function (AMDF)-based pitch feature extractor and dynamic time warping (DTW)-based recognizer. The simulated experiments indicate the performance is improved considerably relative to the conventional LPCC-based DTW method. In addition, we apply the proposed SIEM design for wireless master/slave architecture for mobile consumer devices, providing a cost effective solution to meet the request of real-time and flexibility in embedded system prototype development. It also encourages concurrent development of different parts of system hardware as well as module reusing .