The design of a speech interactivity embedded module and its applications for mobile consumer devices

This paper presents a speech interactivity embedded module (SIEM) that is quite simplified and suitable for programmable anthropomorphic dialogue and menudriven 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.