The design of a CAMDF-based pitch recognition embedded module and its applications for mobile consumer devices

This paper presents a speech interactivity embedded module (PREM) that is quite simplified and suitable for command-driven recognition applications. The proposed PREM adopts circular average magnitude different function (CAMDF)-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 PREM 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.