%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{Roy_ICASSP2010_2010,
         author = {Roy, Anindya and Magimai.-Doss, Mathew and Marcel, S{\'{e}}bastien},
       projects = {Idiap, IM2, MOBIO, SNSF-MULTI},
          month = {3},
          title = {BOOSTED BINARY FEATURES FOR NOISE-ROBUST SPEAKER VERIFICATION},
      booktitle = {2010 IEEE International Conference on Acoustics, Speech and Signal Processing},
           year = {2010},
       location = {Dallas, Texas},
       abstract = {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 these selected features. Experiments on the XM2VTS database strictly according to a standard evaluation protocol have shown that although the proposed framework yields comparatively lower performance on clean speech, it significantly outperforms the state-of-the-art MFCC-GMM system in mismatched conditions with training on clean speech and testing on speech corrupted by four types of additive noise from the standard Noisex-92 database.},
            pdf = {https://publications.idiap.ch/attachments/papers/2010/Roy_ICASSP2010_2010.pdf}
}