TY - JOUR
T1 - Automatic speaker recognition as a measurement of voice imitation and conversion
AU - Farrus, Mireia
AU - Wagner, Michael
AU - Erro, Daniel
AU - Hernando, Javier
PY - 2010
Y1 - 2010
N2 - Voices can be deliberately disguised by means of human imitation or voice conversion. The question arises as to what extent they can be modified by using either of both methods. In the current paper, a set of speaker identification experiments are conducted; first, analysing some prosodic features extracted from voices of professional impersonators attempting to mimic a target voice and, second, using both intragender and crossgender converted voices in a spectral-based speaker recognition system. The results obtained in the current experiments show that the identification error rate increases when testing with imitated voices, as well as when using converted voices, especially the crossgender ones.
AB - Voices can be deliberately disguised by means of human imitation or voice conversion. The question arises as to what extent they can be modified by using either of both methods. In the current paper, a set of speaker identification experiments are conducted; first, analysing some prosodic features extracted from voices of professional impersonators attempting to mimic a target voice and, second, using both intragender and crossgender converted voices in a spectral-based speaker recognition system. The results obtained in the current experiments show that the identification error rate increases when testing with imitated voices, as well as when using converted voices, especially the crossgender ones.
U2 - 10.1558/ijsll.v17i1.119
DO - 10.1558/ijsll.v17i1.119
M3 - Article
SN - 1748-8885
VL - 17
SP - 119
EP - 142
JO - International Journal of Speech, Language and the Law
JF - International Journal of Speech, Language and the Law
IS - 1
ER -