da/sec scientific talk — Guest Lecture on Biometrics
Topic: Including Quality Metrics in Calibration of Biometric Matching Scores
by Rahim Saeidi (Aalto University, Finland)
FBI D14/103, February 06, 2015 (Friday), 11.00 am
Keywords — Score Calibration, Quality Metrics, Speaker Recognition, Face Recognition
Abstract
Face is one of the common biometric modalities that is used by humans to recognize other people. On the other hand voice is sometimes the only way to recognize individuals when talking over the phone or the face is covered. In forensic applications, interpreting the match score of an automatic recognition system is only possible by presenting it as calibrated log-likelihood ratio. In this talk, I will present the state-of-the-art algorithms for authentication based on speech and facial image. Then I cover the importance of calibration stage, elaborate on conventional approaches and spend the last part of my presentation on describing the quality metrics integration into calibration stage. The content of this presentation is based on our journal papers published in [1,2] and their follow up work in [3].
[1] M. I. Mandasari, R. Saeidi, M. McLaren and D. A. van Leeuwen, Quality Measure Functions for Calibration of Speaker Recognition System in Various Duration Conditions, IEEE Transactions on Audio, Speech and Language Processing, 21(11), pp. 2425-2438, November 2013.
[2] M. I. Mandasari, M. Gunther, R. Wallace, R. Saeidi, S. Marcel and D. A. van Leeuwen, Score Calibration in Face Recognition, IET Biometrics, 3(4), pp.246-256, December 2014.
[3] M. I. Mandasari, R. Saeidi and D. A. van Leeuwen, Quality measures based calibration with duration and noise dependency for speaker recognition, Speech Communication, under review.
Short Biography
Rahim Saeidi received the Ph.D. degree in computer science from the University of Eastern Finland (UEF, formerly Univ. of Joensuu) in 2011. He was a Marie Curie post-doctoral fellow in EU project Bayesian biometrics for forensics working at Radboud University Nijmegen in Netherlands from 2011 to 2013. Currently, he is a research fellow working on analysis of vocal effort speech at Aalto University, Finland. Dr. Saeidi is actively serving the research community and has been a member of organizing and scientific committee for several European national and international conferences. He has been an author and co-author of over fifty peer-reviewed publications with research topics of robust speaker and speech recognition and speech enhancement.