Merging human and automatic system decisions to improve speaker recognition performance
Rosa González Hautamäki, Ville Hautamäki, P.K. Rajan, Tomi Kinnunen · 2013
Human judgment is the final authority in forensic speaker recognition, but the use of modern speaker verification systems with accurate algorithms to perform the task under various circumstances has a huge potential to help the expert. The ultimate goal is to improve the accuracy of automatic systems when challenging data is provided and find a methodology for human-aided speaker recognition systems. This work presents an evaluation of speaker recognition carried out by human listeners and a gender dependent i-vector recognizer with a strategy for fusion of the decision process. Our experiments with HASR 2010 and HASR 2012 data indicate complementarity in