Circular Microphone Array Based Beamforming and Source Localization on Reconfigurable Hardware

Source localization and beamforming using microphone arrays are common strategies for speech enhancement and source separation in various applications related to voice capturing. This thesis focuses on their implementation on hardware with real time constraints. Several algorithms are used and the idea is to increase performances as much as possible. Therefore, mathematical and physical optimizations are considered, as well as improvements due to the board's specificities. Nevertheless, the work focuses more on handling of basic solutions by the hardware features. A hybrid plateform is at disposal ; it puts a reprogrammable computation unit and a more classical cpu together. The improvements are significant and the real-time constraints are achieved notwithstanding the fact that hardware capacities and ressources are limited regarding this application that deals with multiple microphone outputs. Acknowledgements I first want to thank Harald Romsdorfer and Gernot Kubin that made this master thesis possible by welcoming me at the Signal Processing and Speech Communication Laboratory, respectively in their capacity as supervisor and head of the laboratory. Then, Manfred Mücke and Thang Viet Huynh for helping me with the board and Tania Habib who helped me to learn more about beamforming. Wolfgang Jäger and I had very close work together on this project and we gave each other advice and hints: I am really grateful to him for all this. I also want to thank all the workers at the SPSC laboratory, the administration members, administrators, and Ph.D students whom have ever been kind to me. Finally, all the master students with whom I have been working during these six months are to acknowledge, especially