Abstract: Palm PC is a kind of novel subtle personal digital assistant （PDA）. Without keyboard device,it currently adopts soft keyboard or handwriting recognition as its major input method. If functions on the platform are enhanced by providing speech navigation,voice dialing, etc, the friendly interface between human beings and machine will be ameliorated much better. In view of such kinds of application,and considering palm PC’s restricted computability and limited memory, the speech recognition algorithm design and implementation on a palm PC is described in detail, including time domain energy based endpoint detection, neural network based integration of multiple confidence measures for OOV rejection, and feature selection and fix point realization. Experiments show that the recognition engine can recognize up to 200 commands in real time with less than 5% error rate.