Maximum Likelihood and Maximum a Posteriori Adaptation for Distributed Speaker Recognition Systems

@inproceedings{Sit2004MaximumLA,
  title={Maximum Likelihood and Maximum a Posteriori Adaptation for Distributed Speaker Recognition Systems},
  author={Chin-Hung Sit and Man-Wai Mak and Sun-Yuan Kung},
  booktitle={ICBA},
  year={2004}
}
We apply the ETSI’s DSR standard to speaker verification over telephone networks and investigate the effect of extracting spectral features from different stages of the ETSI’s front-end on speaker verification performance. We also evaluate two approaches to creating speaker models, namely maximum likelihood (ML) and maximum a posteriori (MAP), in the context of distributed speaker verification. In the former, random vectors with variances depending on the distance between unquantized training… CONTINUE READING

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