Robust Adaptation to Non Native Accents in Automatic Speech Recognition Speech recognition technology is being increasingly employed in human machine interfaces. A remaining problem however is the robustness of this technology to non native accents which still cause considerable difficulties for current systems. In this book methods to overcome this problem are described. A speaker adaptation algorithm that is capable of adapting to the current speaker with just a few words of speaker specific data based on the MLLR principle is developed and combined with confidence measures that focus on phone durations as well as on acoustic features. Furthermore a specific pronunciation modelling technique that allows the automatic derivation of non native pronunciations without using non native data is described and combined with the previous techniques to produce a robust adaptation to non native accents in an automatic speech recognition system