Voices can be deliberately disguised by means of human imitation or voice conversion.
The question arises to what extent they can be modified by using either method. 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 conversions.
CitationFarrús, M. [et al.]. Automatic speaker recognition as a measurement of voice imitation and conversion. "The Intenational Journal of Speech. Language and the Law", 01 Gener 2010, vol. 1, núm. 17, p. 119-142.
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