Abstract
In this paper the effect of 10 kinds of disguise voices on the performance of a Forensic Automatic Speaker Recognition System (FASRS) was studied. 10 types of disguised voices and normal voices from 20 male college students were used as test samples. Each disguised voice was compared with all normal voices in the database of 2000 speakers to make speaker identification and speaker verification. The result of speaker recognition was presented and the effect of voice disguise on the FASRS was evaluated.
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