8. Acknowledgments

First of all, I would like to thank Evolution for coming up with the brilliant idea of using the same device for chewing, breathing, and emitting sounds for communication, making automatic speech recognition one of the most challenging engineering tasks one can think of. 
I am grateful to my colleagues for making my work environment so stimulating, both at KTH, and during my stay as a guest researcher at ATR. In particular Rolf Carlson has given important guidance over the whole period. It was also studies of Rolf Carlson and James Glass that inspired to my work in the area of speaker adaptation. Michael Phillips deserves acknowledgment for introducing me to the A* algorithm and lexical search algorithms, and Kjell Elenius has always been a good conversation partner in ANN related issues. 
Further, I would like to thank Björn Granström for allowing me to work in this area, and for guidance and inspiration. I would also like to thank Yoshinori Sagisaka for inviting me to work in the stimulating research environment at ATR in Kyoto, Japan. 
I also take the opportunity to thank all my teachers, all the way from kindergarten to graduate course teachers. Of course, this thesis would have been impossible without them. 
I thank my mother and father for all their support, and for providing a home where education was a natural part of life. All my friends deserve acknowledgment for being so patient with me when I occasionally completely forget about everything but my work. Finally, thank you Linda for love, support, and understanding.

My first two years of doctoral studies were sponsored by a donation by VOLVO AB, and the remaining studies were financially supported by NUTEK and HSFR, and during the last year also by CTT, a center for speech technology, jointly sponsored by NUTEK, Swedish industry, and KTH.