Comparison of background normalization methods for text-independent speaker verification

  title={Comparison of background normalization methods for text-independent speaker verification},
  author={Douglas A. Reynolds},
This paper compares two approaches to background model representation for a text-independent speaker verification task using Gaussian mixture models. We compare speaker-dependent background speaker sets to the use of a universal, speaker-independent background model (UBM). For the UBM, we describe how Bayesian adaptation can be used to derive claimant speaker models, providing a structure leading to significant computational savings during recognition. Experiments are conducted on the 1996 NIST… CONTINUE READING
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The effects of handset variability on speaker recognition performance: Experiments on the switchboard corpus

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  • ICASSP, pp. 113–116, May 1996.
  • 1996
1 Excerpt

The effects of telephone transmission degradations on speaker recognition performance

  • D. Reynolds, M. Zissman, T. Quateri, G. O' Leary, B. Carlson
  • ICASSP, pp. 329–332, May 1995.
  • 1995
1 Excerpt

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