HOU Tao and LIU Jia. Vector Angle Minimum Criteria for Classi¯erSelection in Speaker Veri¯cation Technology[J]. Chinese Journal of Electronics, 2010, 19(1): 81-85.
Citation: HOU Tao and LIU Jia. Vector Angle Minimum Criteria for Classi¯erSelection in Speaker Veri¯cation Technology[J]. Chinese Journal of Electronics, 2010, 19(1): 81-85.

Vector Angle Minimum Criteria for Classi¯erSelection in Speaker Veri¯cation Technology

  • Received Date: 1900-01-01
  • Rev Recd Date: 1900-01-01
  • Publish Date: 2010-01-05
  • Decision level fusion between classi¯ers
    plays an increasingly important role in present speaker ver-
    i¯cation technology, while on the other hand, it is not the
    more classi¯ers involved in the fusion, the better the sys-
    tem performs. This paper proposes the Vector angle min-
    imum (VAM) criteria for the classi¯er selection in score
    fusion of speaker veri¯cation system. The main idea is to
    study the directions of the score-vectors in score space, ¯nd
    the score-vectors which can form a minimum angle with
    the standard-vector by linear combination, and take the
    corresponding classi¯ers into the fusion. The experimen-
    tal results show that the VAM-based selection can reduce
    the needed number of classi¯ers obviously and enhance the
    system performance. When compared to the n-best crite-
    ria selection, the Equal error rate (EER) of the fused sys-
    tem is relatively 7.2% lower when the number of selected
    classi¯ers is 16.
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