Automatic Speaker Recognition:
Voice-Comparison.com will only use standardized and tested audiosystems and components, which are designed to integrate into the soft- and hardware.
IT/Architecture and Communication:
Webdesign and Optimization:
Dr Jessen has been sucessfully background-checked since 2001, and annually since 2013 (US/Germany).
Gerlach, L., McDougall, K., Kelly, F., Alexander, A. (2020): "Exploring the relationship between voice similarity estimates by listeners and by an automatic speaker recognition system incorporating phonetic features", Speech Communication 124: 85 - 95.
van der Vloed, D., Kelly, F., Alexander, A. (2020): "Exploring the Effects of Device Variability on Forensic Speaker Comparison Using VOCALISE and NFI-FRIDA, A Forensically Realistic Database. Proc. Odyssey 2020 The Speaker and Language Recognition Workshop", 402-407, DOI: 10.21437/Odyssey.2020-57.
Skarnitzl, R., Asiaee, M., & Nourbakhsh, M. (2020):" Tuning the performance of automatic speaker recognition in different conditions: effects of language and simulated voice disguise. International Journal of Speech Language and the Law, 26(2), 209–229.
Morrison, G.S. and Enzinger, E. (2019): "Introduction to forensic voice comparison", in W.F. Katz, and P.F. Assmann (eds.) The Routledge Handbook of Phonetics, Abingdon, UK: Routledge, 599-634.
Maher, R.C. (2018): Principles of Forensic Audio Analysis, Cham: Springer.
Morrison, G.S., Sahito, F.H., Jardine, G., Djokic, D, Clavet, S., Berghs, S. and Goemans Dorny, C. (2016): "INTERPOL survey of the use of speaker identification by law enforcement agencies", Forensic Science International 263: 92-100.