Dissertation in the field of Signal Processing and Acoustics, Jouni Pohjalainen

The title of thesis is Robust methods for speech feature extraction

The studies presented have developed speech feature extraction methods that succeed in
improving the robustness of various speech analysis systems by focusing on relevant information and de-emphasizing or ignoring irrelevant information. These general-purpose modeling methods are not constrained to any particular application or system structure and
thus have many potential uses.

Opponent: Professor John H.L. Hansen, The University of Texas, USA

Supervisor: Professor Paavo Alku, Aalto University School of Electrical Engineering, Department of Signal Processing and Acoustics