Do Humans and speaker verification system use the same information to differentiate voices?
Résumé
The aim of this paper is to analyze the pairwise comparisons of voices by a speaker verification system (ALIZE/Spk) and by human. A database of familial groups of 24 speakers was created. A single sentence was chosen for the perception test. The same sentence was used the test signal for the ALIZE/Spk trained on another part of the corpus. Results shows that the voice proximities within a familial group were well recovered in the speaker representation by ALIZE and much less returned in the representation from perception test