Robust speaker identification using combined feature selection and missing data recognition

Abstract

Missing data techniques have been recently applied to speaker recognition to increase performance in noisy environments. The drawback of these techniques is the vulnerability of the recognizer to errors in the classification of time-frequency points as corrupt or reliable. In this paper we propose the combination of missing data processing and feature… (More)
DOI: 10.1109/ICASSP.2008.4518739

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