Multicondition training of Gaussian PLDA models in i-vector space for noise and reverberation robust speaker recognition

@article{GarciaRomero2012MulticonditionTO,
  title={Multicondition training of Gaussian PLDA models in i-vector space for noise and reverberation robust speaker recognition},
  author={Daniel Garcia-Romero and Xinhui Zhou and Carol Y. Espy-Wilson},
  journal={2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2012},
  pages={4257-4260}
}
We present a multicondition training strategy for Gaussian Probabilistic Linear Discriminant Analysis (PLDA) modeling of i-vector representations of speech utterances. The proposed approach uses a multicondition set to train a collection of individual subsystems that are tuned to specific conditions. A final verification score is obtained by combining the individual scores according to the posterior probability of each condition given the trial at hand. The performance of our approach is… CONTINUE READING
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