Robust Speech Recognition in Embedded Systems and PC Applications

This work provides a link between the technology and the application worlds. As speech recognition technology is now good enough for a number of applications and the core technology is well established around hidden Markov models many of the differences between systems found in the field are related to implementation variants. Embedded applications are usually cost sensitive and require very simple and optimized methods to be viable. The text reviews the problems of robust speech recognition, summarizes the current state of the art of robust speech recognition while providing some perspectives, and goes over the complementary technologies that are necessary to build an application, such as dialog and user interface technologies. The work is divided into five chapters. The first one reviews the main difficulties encountered in automatic speech recognition when the type of communication is unknown.