A novel text-independent speaker verification method based on the global speaker model

Yiying Zhang, Dapeng Zhang, Xiaoyan Zhu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)

Abstract

This correspondence introduces a new text-independent speaker verification method, which is derived from the basic idea of pattern recognition that the discriminating ability of a classifier can be improved by removing the common information between classes. In looking for the common speech characteristics between a group of speakers, a global speaker model can be established. By subtracting the score acquired from this model, the conventional likelihood score is normalized with the consequence of more compact score distribution and lower equal error rates. Several experiments are carried out to demonstrate the effectiveness of the proposed method.
Original languageEnglish
Pages (from-to)598-602
Number of pages5
JournalIEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans.
Volume30
Issue number5
DOIs
Publication statusPublished - 1 Dec 2000

Keywords

  • Biometrics
  • Equal error rate
  • Global speaker model
  • Speaker verification

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this