@inbook {IOPORT.05854198,
    author       = {Ribas, Dayana and Villalba, Jes\'us A. and Lleida, Eduardo and Calvo, Jos\'e R.},
    title        = {Speaker verification in noisy environment using missing feature approach.},
    year         = {2010},
    booktitle    = {Progress in pattern recognition, image analysis, computer vision, and applications. 15th Iberoamerican congress on pattern recognition, CIARP 2010, Sao Paulo, Brazil, November 8--11, 2010. Proceedings},
    isbn         = {978-3-642-16686-0},
    pages        = {220-227},
    publisher    = {Berlin: Springer},
    doi          = {10.1007/978-3-642-16687-7_32},
    abstract     = {Summary: In order to handle speech signals corrupted by noise in speaker verification and provide robustness to systems, this paper evaluates the use of missing feature (MF) approach with a novel combination of techniques. A mask estimation based on spectral subtraction is used to determine the reliability of spectral components in a speech signal corrupted by noise. A cluster based reconstruction technique is used to remake the damaged spectrum. The verification performance was evaluated through a speaker verification experiment with signals corrupted by white noise under different signal to noise ratios. The results were promising since they reflected a relevant increase of speaker verification performance, applying MF approach with this combination of techniques.},
    identifier   = {05854198},
}