Boosted binary features for noise-robust speaker verification

@article{Roy2010BoostedBF,
  title={Boosted binary features for noise-robust speaker verification},
  author={Anindya Roy and Mathew Magimai-Doss and S{\'e}bastien Marcel},
  journal={2010 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2010},
  pages={4442-4445}
}
The standard approach to speaker verification is to extract cepstral features from the speech spectrum and model them by generative or discriminative techniques. We propose a novel approach where a set of client-specific binary features carrying maximal discriminative information specific to the individual client are estimated from an ensemble of pair-wise comparisons of frequency components in magnitude spectra, using Adaboost algorithm. The final classifier is a simple linear combination of… CONTINUE READING