Speaker recognition using phoneme-specific GMMs

  title={Speaker recognition using phoneme-specific GMMs},
  author={Eric G. Hansen and Raymond E. Slyh and Timothy R. Anderson},
This paper compares three approaches to building phoneme-specific Gaussian mixture model (GMM) speaker recognition systems on the NIST 2003 Extended Data Evaluation to a baseline GMM system covering all of the phonemes. The individual performance of any given phoneme-specific GMM system falls below the performance of the baseline GMM, but fusing the top 40 performing scores of the individual phoneme systems at the 8 conversation train condition resulted in an equal error rate of 1.7%, which is… CONTINUE READING

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