This work presents an experimental evaluation of the effect of different speech styles on the task of speaker recognition. We make use of willfully altered voice extracted from the chains corpus and methodically assess the effect of its use in both testing and training a reference speaker identification system and a reference speaker verification system. In this work we contrast normal readings of text with two varieties of imitative styles and with the familiar, non-imitative, variant of fast speech. Furthermore, we test the applicability of a novel speech parameterization that has been suggested as a promising technique in the task of speaker identification: the pyknogram frequency estimate coefficients — pykfec. The experimental evaluation indicates that both the reference verification and identification systems are affected by variations in style of the speech material used, especially in the case that speech is also mismatched in channel. Our case studies also indicates that the adoption of pykfec as speech encoding methodology has an overall favorable effect on the systems accuracy scores.
Bibliographic reference. Grimaldi, Marco / Cummins, Fred (2009): "Speech style and speaker recognition: a case study", In INTERSPEECH-2009, 920-923.