Transfer Function-Based Voice Transformation for Speaker Recognition
作者： Jean-francois Bonastre , Driss Matrouf , Corinne Fredouille
DOI: 10.1109/ODYSSEY.2006.248128
关键词:
摘要: This paper investigates the effect of a transfer function-based voice transformation on automatic speaker recognition system performance. We focus increasing impostor acceptance rate, by modifying an in order to target specific speaker. is based following idea: several applications and particularly forensic situations, it reasonable think that some organizations have knowledge method used could impersonate given, well known also evaluate when applied both client trials. presents experiments NIST SRE 2005 protocol. The results show allows drastic increase false without damaging natural aspect voice. It seems this kind be efficient for reducing inter-session mismatch.
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