University Of Eastern Finland

With more than 15,000 students and 2,800 members of staff, UEF is one of the largest universities in Finland. The multidisciplinary university offers teaching in more than 100 major subjects and is involved in several international networks and mobility programs. UEF seeks to be among the top-3 most significant universities in Finland and among the leading 200 universities in the world. In 2014, it was ranked by the Times Higher Education within the top 100 universities of less than 50 years old.
UEF is represented in OCTAVE by the Speech and Image Processing Unit (SIPU) research group at the School of Computing. The group focuses mostly on data mining and speech technology. Key research topics include speaker and language recognition, robust speech analysis, voice conversion and biometric anti-spoofing. SIPU is an internationally well-recognized research group in the field of voice biometrics. One indicator of success is 2010 survey paper by Kinnunen and Li, “An overview of text-independent speaker recognition: From features to supervectors” in the prestigious Speech Communication journal receiving nearly 450 citations. SIPU hosted Odyssey 2014 (http://cs.uef.fi/odyssey2014/), the main conference of voice biometrics with a history of two decades and wide participation by all the world-renowned laboratories. SIPU collaborates with several institutes worldwide. The longest collaboration is with Institute for Infocomm Research (I2R), in Singapore, involving bilateral researcher exchange and joint participation (2006, 2010, 2012) to the main technological benchmark of the field, the speaker recognition evaluation (SRE) campaigns coordinated by National Institute of Standards and Technology (NIST).
Along with IDIAP, Eurecom and University of Edinburg, SIPU was organizer of Interspeech 2013 Special Session on spoofing and countermeasures for speaker recognition directly related to the topic of this proposal.
UEF primarily contributes to WP3 and WP4 focused on robust speaker verification and different operation modes.

Keijo Haataja

Ethics Committee Member

Dr. Keijo Haataja received the Ph.Lic. degree in Computer Science from the University of Eastern Finland (UEF) in 2007, and the Ph.D. degree in Computer Science from UEF in 2009. Since 2002, he has been a senior assistant of Wireless Communications and Data Security at UEF. Since 2009, he has also been a project manager/coordinator of several Finnish and EU projects at UEF. Since 2012, he has been the Head of Research in CI (Computational Intelligence) research group at UEF. In addition, he is a member of Bluetooth Security Expert Group (SEG), which provides Bluetooth working groups and the Bluetooth SIG with expertise in a wide range of security issues. The goal of the Bluetooth SEG group is to identify threats to Bluetooth wireless security and to ensure that these threats are mitigated through Bluetooth specification enhancements, whitepapers, test cases, and test tools that identify security vulnerabilities in devices. Moreover, he has been the Head of Research and Product Development of SenSoftia Oy since 2013. His main research interests include wireless communications, wireless security, mobile systems, sensor networks, data communications, and intelligent autonomous robots. His doctoral dissertation “Security Threats and Countermeasures in Bluetooth-Enabled Systems” is the world’s first practically oriented doctoral dissertation on Bluetooth security! He has also written three scientific books about Bluetooth security issues and published over 50 scientific research articles in different fields of his research topics.

Tomi Kinnunen

PCB Member

Tomi Kinnunen (tomi.kinnunen@uef.fi) received the Ph.D. degree in computer science from the University of Eastern Finland (UEF, formerly Univ. of Joensuu) in 2005. From 2005 to 2007, he was an associate scientist at the Institute for Infocomm Research (I2R) in Singapore. Since 2007, he has been with UEF. In 2010-2012, his research was funded by the Academy of Finland in a post-doctoral project focusing on speaker recognition. His recent research focuses especially on noise robustness and spoofing countermeasures for speaker verification. He is a regular participant to the NIST speaker recognition evaluations. He was the chair of Odyssey 2014: The Speaker and Language Recognition workshop. He serves currently as an associate editor in Digital Signal Processing and IEEE/ACM Transactions on Audio, Speech and Language Processing.