Unscented transform for ivector-based noisy speaker recognition

@article{Gonzlez2014UnscentedTF,
  title={Unscented transform for ivector-based noisy speaker recognition},
  author={David Mart{\'i}nez Gonz{\'a}lez and Luk{\'a}s Burget and Themos Stafylakis and Yun Lei and Patrick Kenny and Eduardo Lleida},
  journal={2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2014},
  pages={4042-4046}
}
Recently, a new version of the iVector modelling has been proposed for noise robust speaker recognition, where the nonlinear function that relates clean and noisy cepstral coefficients is approximated by a first order vector Taylor series (VTS). In this paper, it is proposed to substitute the first order VTS by an unscented transform, where unlike VTS, the nonlinear function is not applied over the clean model parameters directly, but over a set of sampled points. The resulting points in the… CONTINUE READING
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